Eye blink data feature extraction method
In [1]:
def featureExtraction(fileDir, minCount, maxCount, leftLight):
userHp1 = []
userLp1 = []
userLhpl1 = []
userLlpl1 = []
userHpl1 = []
userLpl1 = []
userLhpg1 = []
userLlpg1 = []
userRhpg1 = []
userRlpg1 = []
userBlink1 = []
userNotBlink1 = []
for count in range(minCount, maxCount):
file = open(fileDir + '/file' + str(count) + '-' + str(leftLight) + '.txt', 'r')
x = file.read()
file.close()
x = x.split(',')
data1 = []
for index, item in enumerate(x):
data1.append(float(item))
for index, item in enumerate(x):
if(index != len(data1) -1):
data1[index] = data1[index + 1]
temp = 0
index = 0
start1 = []
middle1 = []
finish1 = []
for i in range(0, len(data1)):
if((temp + 150 < i) and (data1[i] > 100)):
for j in range(i, 0, -1):
if(data1[j] <= 0):
start1.append(j)
break
for j in range(start1[index] + 1, len(data1)):
if(data1[j] <= 0):
middle1.append(j)
break
for j in range(middle1[index] + 1, len(data1)):
if(data1[j] >= 0):
finish1.append(j)
break
i = finish1[index]
index = index + 1
temp = i
temp = 0
hp1 = []
lp1 = []
lhpl1 = []
llpl1 = []
hpl1 = []
lpl1 = []
lhpg1 = []
llpg1 = []
rhpg1 = []
rlpg1 = []
blink1 = []
notBlink1 = []
index = 0;
for i in range(start1[0], finish1[len(finish1) - 1]):
hp1.append(0)
lp1.append(0)
lhpl1.append(0)
llpl1.append(0)
hpl1.append(0)
lpl1.append(0)
lhpg1.append(0)
llpg1.append(0)
rhpg1.append(0)
rlpg1.append(0)
blink1.append(0)
notBlink1.append(0)
for j in range(start1[index], finish1[index]):
if(hp1[index] < data1[j]):
hp1[index] = data1[j]
lhpl1[index] = j - start1[index]
for j in range(start1[index], finish1[index]):
if(hp1[index] > data1[j]):
lp1[index] = data1[j]
llpl1[index] = j - start1[index]
hpl1[index] = middle1[index] - start1[index]
lpl1[index] = finish1[index] - middle1[index]
lhpg1[index] = hp1[index] / lhpl1[index]
llpg1[index] = lp1[index] / llpl1[index]
rhpg1[index] = hp1[index] / (hpl1[index] - lhpg1[index])
rlpg1[index] = lp1[index] / (lpl1[index] - llpl1[index])
index = index + 1
if(len(start1) == index):
break
i = start1[index]
index = 0;
for i in range(0, len(finish1)):
blink1[i] = finish1[i] - start1[i]
for i in range(0, len(finish1) - 1):
notBlink1[i] = start1[i + 1] - finish1[i]
for i in range(0, len(finish1)):
userHp1.append(hp1[i])
userLp1.append(lp1[i])
userLhpl1.append(lhpl1[i])
userLlpl1.append(llpl1[i])
userHpl1.append(hpl1[i])
userLpl1.append(lpl1[i])
userLhpg1.append(lhpg1[i])
userLlpg1.append(llpg1[i])
userRhpg1.append(rhpg1[i])
userRlpg1.append(rlpg1[i])
userBlink1.append(blink1[i])
userNotBlink1.append(notBlink1[i])
return userHp1, userLp1, userLhpl1, userLlpl1, userHpl1, userLpl1, userLhpg1, userLlpg1, userRhpg1, userRlpg1, userBlink1, userNotBlink1
user1 data extraction
In [2]:
user1Data = []
user1Label = []
In [3]:
userHp1, userLp1, userLhpl1, userLlpl1, userHpl1, userLpl1, userLhpg1, userLlpg1, userRhpg1, userRlpg1, userBlink1, userNotBlink1 = featureExtraction('C:/EOGData/user1', 0, 49, 1)
In [4]:
userHp2, userLp2, userLhpl2, userLlpl2, userHpl2, userLpl2, userLhpg2, userLlpg2, userRhpg2, userRlpg2, userBlink2, userNotBlink2 = featureExtraction('C:/EOGData/user1', 0, 49, 2)
In [5]:
sum = len(userHp1) +len(userHp2)
In [6]:
userHp1 = userHp1 + userHp2
userLp1 = userLp1 + userLp2
userLhpl1 = userLhpl1 + userLhpl2
userLlpl1 = userLlpl1 + userLlpl2
userHpl1 = userHpl1 + userHpl2
userLpl1 = userLpl1 + userLpl2
userLhpg1 = userLhpg1 + userLhpg2
userLlpg1 = userLlpg1 + userLlpg2
userRhpg1 = userRhpg1 + userRhpg2
userRlpg1 = userRlpg1 + userRlpg2
userBlink1 = userBlink1 + userBlink2
userNotBlink1 = userNotBlink1 + userNotBlink2
In [7]:
for i in range(0, sum):
user1Data.append([userHp1[i], userLp1[i], userLhpl1[i], userLlpl1[i], userHpl1[i], userLpl1[i], userLhpg1[i], userLlpg1[i], userRhpg1[i], userRlpg1[i]])
user1Label.append(0)
user2 data extraction
In [8]:
user2Data = []
user2Label = []
In [9]:
userHp1, userLp1, userLhpl1, userLlpl1, userHpl1, userLpl1, userLhpg1, userLlpg1, userRhpg1, userRlpg1, userBlink1, userNotBlink1 = featureExtraction('C:/EOGData/user2', 0, 49, 1)
In [10]:
userHp2, userLp2, userLhpl2, userLlpl2, userHpl2, userLpl2, userLhpg2, userLlpg2, userRhpg2, userRlpg2, userBlink2, userNotBlink2 = featureExtraction('C:/EOGData/user2', 0, 49, 2)
In [11]:
sum = len(userHp1) +len(userHp2)
In [12]:
userHp1 = userHp1 + userHp2
userLp1 = userLp1 + userLp2
userLhpl1 = userLhpl1 + userLhpl2
userLlpl1 = userLlpl1 + userLlpl2
userHpl1 = userHpl1 + userHpl2
userLpl1 = userLpl1 + userLpl2
userLhpg1 = userLhpg1 + userLhpg2
userLlpg1 = userLlpg1 + userLlpg2
userRhpg1 = userRhpg1 + userRhpg2
userRlpg1 = userRlpg1 + userRlpg2
userBlink1 = userBlink1 + userBlink2
userNotBlink1 = userNotBlink1 + userNotBlink2
In [13]:
for i in range(0, sum):
user2Data.append([userHp1[i], userLp1[i], userLhpl1[i], userLlpl1[i], userHpl1[i], userLpl1[i], userLhpg1[i], userLlpg1[i], userRhpg1[i], userRlpg1[i]])
user2Label.append(1)
Artifact data extraction
In [14]:
user3Data = []
user3Label = []
In [15]:
userHp1, userLp1, userLhpl1, userLlpl1, userHpl1, userLpl1, userLhpg1, userLlpg1, userRhpg1, userRlpg1, userBlink1, userNotBlink1 = featureExtraction('C:/EOGData/artifact/doridori', 0, 3, 1)
In [16]:
userHp2, userLp2, userLhpl2, userLlpl2, userHpl2, userLpl2, userLhpg2, userLlpg2, userRhpg2, userRlpg2, userBlink2, userNotBlink2 = featureExtraction('C:/EOGData/artifact/doridori', 0, 3, 2)
In [17]:
sum = len(userHp1) +len(userHp2)
In [18]:
userHp1 = userHp1 + userHp2
userLp1 = userLp1 + userLp2
userLhpl1 = userLhpl1 + userLhpl2
userLlpl1 = userLlpl1 + userLlpl2
userHpl1 = userHpl1 + userHpl2
userLpl1 = userLpl1 + userLpl2
userLhpg1 = userLhpg1 + userLhpg2
userLlpg1 = userLlpg1 + userLlpg2
userRhpg1 = userRhpg1 + userRhpg2
userRlpg1 = userRlpg1 + userRlpg2
userBlink1 = userBlink1 + userBlink2
userNotBlink1 = userNotBlink1 + userNotBlink2
In [19]:
for i in range(0, sum):
user3Data.append([userHp1[i], userLp1[i], userLhpl1[i], userLlpl1[i], userHpl1[i], userLpl1[i], userLhpg1[i], userLlpg1[i], userRhpg1[i], userRlpg1[i]])
user3Label.append(2)
Eye blink data preprocessing
In [20]:
import numpy as np
In [21]:
user1Data = np.array(user1Data)
user2Data = np.array(user2Data)
user3Data = np.array(user3Data)
user1Label = np.array(user1Label)
user2Label = np.array(user2Label)
user3Label = np.array(user3Label)
In [22]:
print('Number of user1 data', len(user1Data))
Number of user1 data 841
In [23]:
print('Number of user2 data', len(user2Data))
Number of user2 data 1516
In [24]:
print('Number of artifact data', len(user3Data))
Number of artifact data 882
Data sum
In [25]:
data = np.concatenate((user1Data, user2Data, user3Data), axis=0)
In [26]:
len(data)
Out[26]:
3239
In [27]:
label = np.concatenate((user1Label, user2Label, user3Label), axis=0)
In [28]:
len(label)
Out[28]:
3239
Data mixing
In [29]:
s = np.arange(data.shape[0])
np.random.shuffle(s)
In [30]:
data = data[s]
label = label[s]
In [31]:
label
Out[31]:
array([1, 1, 1, ..., 1, 1, 2])
Data sharing & create labels
In [32]:
tempLabel = []
testLabel = label[2600:]
In [33]:
for i in range(0, len(label)):
if(label[i] == 0):
tempLabel.append([1, 0])
elif(label[i] == 1):
tempLabel.append([1, 0])
else:
tempLabel.append([0, 1])
In [34]:
label = tempLabel
In [35]:
label = np.array(label)
In [36]:
train_data = data[:2000]
val_data = data[2000:2600]
test_data = data[2600:]
train_label = label[:2000]
val_label = label[2000:2600]
test_label = label[2600:]
myData = data[:2600]
myLabel = label[:2600]
Data regularization
In [37]:
mean = train_data.mean(axis=0)
train_data -= mean
std = train_data.std(axis=0)
train_data /= std
val_data -= mean
val_data /= std
test_data -= mean
test_data /= std
import modules
In [38]:
from keras import models
from keras import layers
from keras import regularizers
from keras import optimizers
Using TensorFlow backend.
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:469: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:470: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:471: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:472: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:473: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:476: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
In [39]:
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix
import pandas as pd
from sklearn.metrics import auc
from sklearn.metrics import roc_curve, roc_auc_score
import matplotlib as mpl
import matplotlib.pyplot as plt
Make model function
In [40]:
def build_model(actiFunc, lossFunc, hidden, node, dropout):
model = models.Sequential()
model.add(layers.Dense(node[0], activation=actiFunc, input_shape=(10, )))
model.add(layers.Dropout(dropout))
if(hidden == 2):
model.add(layers.Dense(node[1], activation=actiFunc))
model.add(layers.Dropout(dropout))
if(hidden == 3):
model.add(layers.Dense(node[1], activation=actiFunc))
model.add(layers.Dropout(dropout))
model.add(layers.Dense(node[2], activation=actiFunc))
model.add(layers.Dropout(dropout))
if(hidden == 4):
model.add(layers.Dense(node[1], activation=actiFunc))
model.add(layers.Dropout(dropout))
model.add(layers.Dense(node[2], activation=actiFunc))
model.add(layers.Dropout(dropout))
model.add(layers.Dense(node[3], activation=actiFunc))
model.add(layers.Dropout(dropout))
model.add(layers.Dense(2, activation='softmax'))
model.compile(optimizer='rmsprop', loss=lossFunc, metrics=['accuracy'])
return model
result
In [41]:
import numpy as np
num_epochs = 1000
actiFunc = ['relu', 'sigmoid']
lossFunc = ['categorical_crossentropy']
hidden = [3]
node = [
[16, 8, 4], [16, 8, 8], [16, 8, 16], [16, 16, 4], [16, 16, 8], [16, 16, 16],
[32, 8, 4], [32, 8, 8], [32, 8, 16], [32, 16, 4], [32, 16, 8], [32, 16, 16],
[32, 32, 4], [32, 32, 8], [32, 32, 16], [32, 32, 32]
]
batchSize = [512]
dropout = [0, 0.1]
all_acc_histories = []
all_loss_histories = []
prev_max_acc = 0
fold = 4
num_fold = len(myData) // fold
for i in range(len(actiFunc)):
for j in range(len(lossFunc)):
for k in range(len(hidden)):
for l in range(len(node)):
for m in range(len(batchSize)):
for n in range(len(dropout)):
print('Activation:', actiFunc[i] , ' Loss:', lossFunc[j] , ' HiddenLayer:', hidden[k] , ' Node:[', node[l][0], ',', node[l][1] , ',', node[l][2], '] BatchSize:', batchSize[m], ' Dropout:', dropout[n])
for o in range(fold):
print('처리 중인 폴드 #', o)
val_data = myData[o * num_fold: (o + 1) * num_fold]
val_label = myLabel[o * num_fold: (o + 1) * num_fold]
train_data = np.concatenate([myData[:o * num_fold], myData[(o + 1) * num_fold:]], axis=0)
train_label = np.concatenate([myLabel[:o * num_fold], myLabel[(o + 1) * num_fold:]], axis=0)
model = build_model(actiFunc[i], lossFunc[j], hidden[k], node[l], dropout[n])
model.summary()
history = model.fit(train_data, train_label, validation_data=(val_data, val_label), epochs=num_epochs, batch_size=batchSize[m], verbose=False)
acc_history = history.history['val_acc']
all_acc_histories.append(acc_history)
loss_history = history.history['val_loss']
all_loss_histories.append(loss_history)
print('loss min :', min(loss_history), ' acc max:', max(acc_history))
print('loss mean :', np.mean(loss_history), ' acc mean:', np.mean(acc_history))
if(prev_max_acc < max(acc_history)):
prev_max_acc = max(acc_history)
model.save('EOG_Filtering_model.h5')
print()
print('model save!!!')
print('Activation:', actiFunc[i] , ' Loss:', lossFunc[j] , ' HiddenLayer:', hidden[k] , ' Node:[', node[l][0], ',', node[l][1] , ',', node[l][2], '] BatchSize:', batchSize[m], ' Dropout:', dropout[n])
fig, loss_ax = plt.subplots()
acc_ax = loss_ax.twinx()
loss_ax.plot(history.history['loss'], 'y', label='train loss')
loss_ax.plot(history.history['val_loss'], 'r', label='val loss')
acc_ax.plot(history.history['acc'], 'b', label='train acc')
acc_ax.plot(history.history['val_acc'], 'g', label='val acc')
loss_ax.set_xlabel('epoch')
loss_ax.set_ylabel('loss')
acc_ax.set_ylabel('accuray')
loss_ax.legend(loc='upper left')
acc_ax.legend(loc='lower left')
plt.show()
print()
print()
print('=======================================================================================================')
print()
print()
Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1 (Dense) (None, 16) 176 _________________________________________________________________ dropout_1 (Dropout) (None, 16) 0 _________________________________________________________________ dense_2 (Dense) (None, 8) 136 _________________________________________________________________ dropout_2 (Dropout) (None, 8) 0 _________________________________________________________________ dense_3 (Dense) (None, 4) 36 _________________________________________________________________ dropout_3 (Dropout) (None, 4) 0 _________________________________________________________________ dense_4 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18270664437459067 acc max: 0.9430769256445077 loss mean : 0.22494740693415588 acc mean: 0.9339538484802613 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_5 (Dense) (None, 16) 176 _________________________________________________________________ dropout_4 (Dropout) (None, 16) 0 _________________________________________________________________ dense_6 (Dense) (None, 8) 136 _________________________________________________________________ dropout_5 (Dropout) (None, 8) 0 _________________________________________________________________ dense_7 (Dense) (None, 4) 36 _________________________________________________________________ dropout_6 (Dropout) (None, 4) 0 _________________________________________________________________ dense_8 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13462250773723308 acc max: 0.956923080591055 loss mean : 0.168778780371776 acc mean: 0.9412784657540687 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_9 (Dense) (None, 16) 176 _________________________________________________________________ dropout_7 (Dropout) (None, 16) 0 _________________________________________________________________ dense_10 (Dense) (None, 8) 136 _________________________________________________________________ dropout_8 (Dropout) (None, 8) 0 _________________________________________________________________ dense_11 (Dense) (None, 4) 36 _________________________________________________________________ dropout_9 (Dropout) (None, 4) 0 _________________________________________________________________ dense_12 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20447425700151003 acc max: 0.9430769256445077 loss mean : 0.23113739240151182 acc mean: 0.927956926110066
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_13 (Dense) (None, 16) 176 _________________________________________________________________ dropout_10 (Dropout) (None, 16) 0 _________________________________________________________________ dense_14 (Dense) (None, 8) 136 _________________________________________________________________ dropout_11 (Dropout) (None, 8) 0 _________________________________________________________________ dense_15 (Dense) (None, 4) 36 _________________________________________________________________ dropout_12 (Dropout) (None, 4) 0 _________________________________________________________________ dense_16 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2028315162200194 acc max: 0.9369230791238639 loss mean : 0.2664629251673588 acc mean: 0.9248476951512007
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_17 (Dense) (None, 16) 176 _________________________________________________________________ dropout_13 (Dropout) (None, 16) 0 _________________________________________________________________ dense_18 (Dense) (None, 8) 136 _________________________________________________________________ dropout_14 (Dropout) (None, 8) 0 _________________________________________________________________ dense_19 (Dense) (None, 4) 36 _________________________________________________________________ dropout_15 (Dropout) (None, 4) 0 _________________________________________________________________ dense_20 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17846473437089186 acc max: 0.9415384633724506 loss mean : 0.20472576640395018 acc mean: 0.927470771057239
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_21 (Dense) (None, 16) 176 _________________________________________________________________ dropout_16 (Dropout) (None, 16) 0 _________________________________________________________________ dense_22 (Dense) (None, 8) 136 _________________________________________________________________ dropout_17 (Dropout) (None, 8) 0 _________________________________________________________________ dense_23 (Dense) (None, 4) 36 _________________________________________________________________ dropout_18 (Dropout) (None, 4) 0 _________________________________________________________________ dense_24 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1237295138835907 acc max: 0.9600000033011803 loss mean : 0.14227543475893828 acc mean: 0.9504138498522684 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0.1
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_25 (Dense) (None, 16) 176 _________________________________________________________________ dropout_19 (Dropout) (None, 16) 0 _________________________________________________________________ dense_26 (Dense) (None, 8) 136 _________________________________________________________________ dropout_20 (Dropout) (None, 8) 0 _________________________________________________________________ dense_27 (Dense) (None, 4) 36 _________________________________________________________________ dropout_21 (Dropout) (None, 4) 0 _________________________________________________________________ dense_28 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2034718001805819 acc max: 0.944615387916565 loss mean : 0.23564471492134606 acc mean: 0.9326969264527467
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_29 (Dense) (None, 16) 176 _________________________________________________________________ dropout_22 (Dropout) (None, 16) 0 _________________________________________________________________ dense_30 (Dense) (None, 8) 136 _________________________________________________________________ dropout_23 (Dropout) (None, 8) 0 _________________________________________________________________ dense_31 (Dense) (None, 4) 36 _________________________________________________________________ dropout_24 (Dropout) (None, 4) 0 _________________________________________________________________ dense_32 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19064205816158883 acc max: 0.9369230805910551 loss mean : 0.2266168305783547 acc mean: 0.9239676962632399
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_33 (Dense) (None, 16) 176 _________________________________________________________________ dropout_25 (Dropout) (None, 16) 0 _________________________________________________________________ dense_34 (Dense) (None, 8) 136 _________________________________________________________________ dropout_26 (Dropout) (None, 8) 0 _________________________________________________________________ dense_35 (Dense) (None, 8) 72 _________________________________________________________________ dropout_27 (Dropout) (None, 8) 0 _________________________________________________________________ dense_36 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19251589644413727 acc max: 0.947692310993488 loss mean : 0.22978234254646762 acc mean: 0.9342507721171929
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_37 (Dense) (None, 16) 176 _________________________________________________________________ dropout_28 (Dropout) (None, 16) 0 _________________________________________________________________ dense_38 (Dense) (None, 8) 136 _________________________________________________________________ dropout_29 (Dropout) (None, 8) 0 _________________________________________________________________ dense_39 (Dense) (None, 8) 72 _________________________________________________________________ dropout_30 (Dropout) (None, 8) 0 _________________________________________________________________ dense_40 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.134625396499267 acc max: 0.9615384648396419 loss mean : 0.16760075674506333 acc mean: 0.9473430808241551 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 8 ] BatchSize: 512 Dropout: 0
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_41 (Dense) (None, 16) 176 _________________________________________________________________ dropout_31 (Dropout) (None, 16) 0 _________________________________________________________________ dense_42 (Dense) (None, 8) 136 _________________________________________________________________ dropout_32 (Dropout) (None, 8) 0 _________________________________________________________________ dense_43 (Dense) (None, 8) 72 _________________________________________________________________ dropout_33 (Dropout) (None, 8) 0 _________________________________________________________________ dense_44 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17362153314627135 acc max: 0.9476923095262968 loss mean : 0.21527924168419377 acc mean: 0.9369953869755452
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_45 (Dense) (None, 16) 176 _________________________________________________________________ dropout_34 (Dropout) (None, 16) 0 _________________________________________________________________ dense_46 (Dense) (None, 8) 136 _________________________________________________________________ dropout_35 (Dropout) (None, 8) 0 _________________________________________________________________ dense_47 (Dense) (None, 8) 72 _________________________________________________________________ dropout_36 (Dropout) (None, 8) 0 _________________________________________________________________ dense_48 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2076436630120644 acc max: 0.9446153875497671 loss mean : 0.2923715768974561 acc mean: 0.9293753878144118
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_49 (Dense) (None, 16) 176 _________________________________________________________________ dropout_37 (Dropout) (None, 16) 0 _________________________________________________________________ dense_50 (Dense) (None, 8) 136 _________________________________________________________________ dropout_38 (Dropout) (None, 8) 0 _________________________________________________________________ dense_51 (Dense) (None, 8) 72 _________________________________________________________________ dropout_39 (Dropout) (None, 8) 0 _________________________________________________________________ dense_52 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1640110077078526 acc max: 0.9461538479878352 loss mean : 0.19046669045411624 acc mean: 0.9337815405593469
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_53 (Dense) (None, 16) 176 _________________________________________________________________ dropout_40 (Dropout) (None, 16) 0 _________________________________________________________________ dense_54 (Dense) (None, 8) 136 _________________________________________________________________ dropout_41 (Dropout) (None, 8) 0 _________________________________________________________________ dense_55 (Dense) (None, 8) 72 _________________________________________________________________ dropout_42 (Dropout) (None, 8) 0 _________________________________________________________________ dense_56 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11674583485493294 acc max: 0.9584615421295166 loss mean : 0.1388667567034868 acc mean: 0.9515661577244904
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_57 (Dense) (None, 16) 176 _________________________________________________________________ dropout_43 (Dropout) (None, 16) 0 _________________________________________________________________ dense_58 (Dense) (None, 8) 136 _________________________________________________________________ dropout_44 (Dropout) (None, 8) 0 _________________________________________________________________ dense_59 (Dense) (None, 8) 72 _________________________________________________________________ dropout_45 (Dropout) (None, 8) 0 _________________________________________________________________ dense_60 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18689822394114275 acc max: 0.9492307714315561 loss mean : 0.20856568342892023 acc mean: 0.938072310331418
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_61 (Dense) (None, 16) 176 _________________________________________________________________ dropout_46 (Dropout) (None, 16) 0 _________________________________________________________________ dense_62 (Dense) (None, 8) 136 _________________________________________________________________ dropout_47 (Dropout) (None, 8) 0 _________________________________________________________________ dense_63 (Dense) (None, 8) 72 _________________________________________________________________ dropout_48 (Dropout) (None, 8) 0 _________________________________________________________________ dense_64 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18017049340101388 acc max: 0.9353846190525935 loss mean : 0.20963828396081924 acc mean: 0.9268800037971827
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_65 (Dense) (None, 16) 176 _________________________________________________________________ dropout_49 (Dropout) (None, 16) 0 _________________________________________________________________ dense_66 (Dense) (None, 8) 136 _________________________________________________________________ dropout_50 (Dropout) (None, 8) 0 _________________________________________________________________ dense_67 (Dense) (None, 16) 144 _________________________________________________________________ dropout_51 (Dropout) (None, 16) 0 _________________________________________________________________ dense_68 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17647411064459728 acc max: 0.9446153871829693 loss mean : 0.2347549800965878 acc mean: 0.9370369256661489
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_69 (Dense) (None, 16) 176 _________________________________________________________________ dropout_52 (Dropout) (None, 16) 0 _________________________________________________________________ dense_70 (Dense) (None, 8) 136 _________________________________________________________________ dropout_53 (Dropout) (None, 8) 0 _________________________________________________________________ dense_71 (Dense) (None, 16) 144 _________________________________________________________________ dropout_54 (Dropout) (None, 16) 0 _________________________________________________________________ dense_72 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12091633425309108 acc max: 0.966153848354633 loss mean : 0.14484241406326112 acc mean: 0.948340003519425 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_73 (Dense) (None, 16) 176 _________________________________________________________________ dropout_55 (Dropout) (None, 16) 0 _________________________________________________________________ dense_74 (Dense) (None, 8) 136 _________________________________________________________________ dropout_56 (Dropout) (None, 8) 0 _________________________________________________________________ dense_75 (Dense) (None, 16) 144 _________________________________________________________________ dropout_57 (Dropout) (None, 16) 0 _________________________________________________________________ dense_76 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18592684970452236 acc max: 0.9461538487214308 loss mean : 0.20922303653373167 acc mean: 0.9348907719696485
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_77 (Dense) (None, 16) 176 _________________________________________________________________ dropout_58 (Dropout) (None, 16) 0 _________________________________________________________________ dense_78 (Dense) (None, 8) 136 _________________________________________________________________ dropout_59 (Dropout) (None, 8) 0 _________________________________________________________________ dense_79 (Dense) (None, 16) 144 _________________________________________________________________ dropout_60 (Dropout) (None, 16) 0 _________________________________________________________________ dense_80 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19882963281411392 acc max: 0.9369230805910551 loss mean : 0.3350068520992995 acc mean: 0.9226707729112186
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_81 (Dense) (None, 16) 176 _________________________________________________________________ dropout_61 (Dropout) (None, 16) 0 _________________________________________________________________ dense_82 (Dense) (None, 8) 136 _________________________________________________________________ dropout_62 (Dropout) (None, 8) 0 _________________________________________________________________ dense_83 (Dense) (None, 16) 144 _________________________________________________________________ dropout_63 (Dropout) (None, 16) 0 _________________________________________________________________ dense_84 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16346251347890267 acc max: 0.9400000029343825 loss mean : 0.18135690128500645 acc mean: 0.9319553869669254
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_85 (Dense) (None, 16) 176 _________________________________________________________________ dropout_64 (Dropout) (None, 16) 0 _________________________________________________________________ dense_86 (Dense) (None, 8) 136 _________________________________________________________________ dropout_65 (Dropout) (None, 8) 0 _________________________________________________________________ dense_87 (Dense) (None, 16) 144 _________________________________________________________________ dropout_66 (Dropout) (None, 16) 0 _________________________________________________________________ dense_88 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12495385830218976 acc max: 0.9661538487214308 loss mean : 0.1412881802415389 acc mean: 0.956598464812132 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0.1
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_89 (Dense) (None, 16) 176 _________________________________________________________________ dropout_67 (Dropout) (None, 16) 0 _________________________________________________________________ dense_90 (Dense) (None, 8) 136 _________________________________________________________________ dropout_68 (Dropout) (None, 8) 0 _________________________________________________________________ dense_91 (Dense) (None, 16) 144 _________________________________________________________________ dropout_69 (Dropout) (None, 16) 0 _________________________________________________________________ dense_92 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1745072978276473 acc max: 0.9446153875497671 loss mean : 0.198516046332396 acc mean: 0.9364784646942983
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_93 (Dense) (None, 16) 176 _________________________________________________________________ dropout_70 (Dropout) (None, 16) 0 _________________________________________________________________ dense_94 (Dense) (None, 8) 136 _________________________________________________________________ dropout_71 (Dropout) (None, 8) 0 _________________________________________________________________ dense_95 (Dense) (None, 16) 144 _________________________________________________________________ dropout_72 (Dropout) (None, 16) 0 _________________________________________________________________ dense_96 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17923873892197242 acc max: 0.9369230805910551 loss mean : 0.20577251076982575 acc mean: 0.9280600036749475
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_97 (Dense) (None, 16) 176 _________________________________________________________________ dropout_73 (Dropout) (None, 16) 0 _________________________________________________________________ dense_98 (Dense) (None, 16) 272 _________________________________________________________________ dropout_74 (Dropout) (None, 16) 0 _________________________________________________________________ dense_99 (Dense) (None, 4) 68 _________________________________________________________________ dropout_75 (Dropout) (None, 4) 0 _________________________________________________________________ dense_100 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18102261598293598 acc max: 0.947692309159499 loss mean : 0.21842104482602617 acc mean: 0.9358107712730995
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_101 (Dense) (None, 16) 176 _________________________________________________________________ dropout_76 (Dropout) (None, 16) 0 _________________________________________________________________ dense_102 (Dense) (None, 16) 272 _________________________________________________________________ dropout_77 (Dropout) (None, 16) 0 _________________________________________________________________ dense_103 (Dense) (None, 4) 68 _________________________________________________________________ dropout_78 (Dropout) (None, 4) 0 _________________________________________________________________ dense_104 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.10207339438108297 acc max: 0.9692307717983539 loss mean : 0.12486038624529655 acc mean: 0.9593276952879246 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 4 ] BatchSize: 512 Dropout: 0
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_105 (Dense) (None, 16) 176 _________________________________________________________________ dropout_79 (Dropout) (None, 16) 0 _________________________________________________________________ dense_106 (Dense) (None, 16) 272 _________________________________________________________________ dropout_80 (Dropout) (None, 16) 0 _________________________________________________________________ dense_107 (Dense) (None, 4) 68 _________________________________________________________________ dropout_81 (Dropout) (None, 4) 0 _________________________________________________________________ dense_108 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1796139926635302 acc max: 0.9430769260113055 loss mean : 0.22980217661463298 acc mean: 0.9352769260608234
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_109 (Dense) (None, 16) 176 _________________________________________________________________ dropout_82 (Dropout) (None, 16) 0 _________________________________________________________________ dense_110 (Dense) (None, 16) 272 _________________________________________________________________ dropout_83 (Dropout) (None, 16) 0 _________________________________________________________________ dense_111 (Dense) (None, 4) 68 _________________________________________________________________ dropout_84 (Dropout) (None, 4) 0 _________________________________________________________________ dense_112 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.22106202538196856 acc max: 0.932307696709266 loss mean : 0.3255904082926878 acc mean: 0.9198246196262653
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_113 (Dense) (None, 16) 176 _________________________________________________________________ dropout_85 (Dropout) (None, 16) 0 _________________________________________________________________ dense_114 (Dense) (None, 16) 272 _________________________________________________________________ dropout_86 (Dropout) (None, 16) 0 _________________________________________________________________ dense_115 (Dense) (None, 4) 68 _________________________________________________________________ dropout_87 (Dropout) (None, 4) 0 _________________________________________________________________ dense_116 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1639374848971 acc max: 0.9415384633724506 loss mean : 0.183352348294602 acc mean: 0.9330123096999755
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_117 (Dense) (None, 16) 176 _________________________________________________________________ dropout_88 (Dropout) (None, 16) 0 _________________________________________________________________ dense_118 (Dense) (None, 16) 272 _________________________________________________________________ dropout_89 (Dropout) (None, 16) 0 _________________________________________________________________ dense_119 (Dense) (None, 4) 68 _________________________________________________________________ dropout_90 (Dropout) (None, 4) 0 _________________________________________________________________ dense_120 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1224318005488469 acc max: 0.9584615417627188 loss mean : 0.1338387761635047 acc mean: 0.949573850165147
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_121 (Dense) (None, 16) 176 _________________________________________________________________ dropout_91 (Dropout) (None, 16) 0 _________________________________________________________________ dense_122 (Dense) (None, 16) 272 _________________________________________________________________ dropout_92 (Dropout) (None, 16) 0 _________________________________________________________________ dense_123 (Dense) (None, 4) 68 _________________________________________________________________ dropout_93 (Dropout) (None, 4) 0 _________________________________________________________________ dense_124 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18791979523805472 acc max: 0.9446153875497671 loss mean : 0.20885862945538297 acc mean: 0.9308507722839943
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_125 (Dense) (None, 16) 176 _________________________________________________________________ dropout_94 (Dropout) (None, 16) 0 _________________________________________________________________ dense_126 (Dense) (None, 16) 272 _________________________________________________________________ dropout_95 (Dropout) (None, 16) 0 _________________________________________________________________ dense_127 (Dense) (None, 4) 68 _________________________________________________________________ dropout_96 (Dropout) (None, 4) 0 _________________________________________________________________ dense_128 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19255262241913723 acc max: 0.9338461567805364 loss mean : 0.21341288177852447 acc mean: 0.9221846193863795
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_129 (Dense) (None, 16) 176 _________________________________________________________________ dropout_97 (Dropout) (None, 16) 0 _________________________________________________________________ dense_130 (Dense) (None, 16) 272 _________________________________________________________________ dropout_98 (Dropout) (None, 16) 0 _________________________________________________________________ dense_131 (Dense) (None, 8) 136 _________________________________________________________________ dropout_99 (Dropout) (None, 8) 0 _________________________________________________________________ dense_132 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19539367723923462 acc max: 0.9415384641060462 loss mean : 0.2592516415437139 acc mean: 0.9321861567480748
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_133 (Dense) (None, 16) 176 _________________________________________________________________ dropout_100 (Dropout) (None, 16) 0 _________________________________________________________________ dense_134 (Dense) (None, 16) 272 _________________________________________________________________ dropout_101 (Dropout) (None, 16) 0 _________________________________________________________________ dense_135 (Dense) (None, 8) 136 _________________________________________________________________ dropout_102 (Dropout) (None, 8) 0 _________________________________________________________________ dense_136 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12360723417538863 acc max: 0.9615384641060463 loss mean : 0.17385731965459308 acc mean: 0.9519876957420202
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_137 (Dense) (None, 16) 176 _________________________________________________________________ dropout_103 (Dropout) (None, 16) 0 _________________________________________________________________ dense_138 (Dense) (None, 16) 272 _________________________________________________________________ dropout_104 (Dropout) (None, 16) 0 _________________________________________________________________ dense_139 (Dense) (None, 8) 136 _________________________________________________________________ dropout_105 (Dropout) (None, 8) 0 _________________________________________________________________ dense_140 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1942888650527367 acc max: 0.9415384641060462 loss mean : 0.22020836599482943 acc mean: 0.933221541361442
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_141 (Dense) (None, 16) 176 _________________________________________________________________ dropout_106 (Dropout) (None, 16) 0 _________________________________________________________________ dense_142 (Dense) (None, 16) 272 _________________________________________________________________ dropout_107 (Dropout) (None, 16) 0 _________________________________________________________________ dense_143 (Dense) (None, 8) 136 _________________________________________________________________ dropout_108 (Dropout) (None, 8) 0 _________________________________________________________________ dense_144 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21334406233750858 acc max: 0.9369230802242573 loss mean : 0.34518516150474543 acc mean: 0.9260676960303235
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_145 (Dense) (None, 16) 176 _________________________________________________________________ dropout_109 (Dropout) (None, 16) 0 _________________________________________________________________ dense_146 (Dense) (None, 16) 272 _________________________________________________________________ dropout_110 (Dropout) (None, 16) 0 _________________________________________________________________ dense_147 (Dense) (None, 8) 136 _________________________________________________________________ dropout_111 (Dropout) (None, 8) 0 _________________________________________________________________ dense_148 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1682476950608767 acc max: 0.9446153864493737 loss mean : 0.18579850338257275 acc mean: 0.934933848362886
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_149 (Dense) (None, 16) 176 _________________________________________________________________ dropout_112 (Dropout) (None, 16) 0 _________________________________________________________________ dense_150 (Dense) (None, 16) 272 _________________________________________________________________ dropout_113 (Dropout) (None, 16) 0 _________________________________________________________________ dense_151 (Dense) (None, 8) 136 _________________________________________________________________ dropout_114 (Dropout) (None, 8) 0 _________________________________________________________________ dense_152 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.10949466618207784 acc max: 0.9630769256445078 loss mean : 0.1270423998022538 acc mean: 0.9539769265803923
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_153 (Dense) (None, 16) 176 _________________________________________________________________ dropout_115 (Dropout) (None, 16) 0 _________________________________________________________________ dense_154 (Dense) (None, 16) 272 _________________________________________________________________ dropout_116 (Dropout) (None, 16) 0 _________________________________________________________________ dense_155 (Dense) (None, 8) 136 _________________________________________________________________ dropout_117 (Dropout) (None, 8) 0 _________________________________________________________________ dense_156 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18873194015943087 acc max: 0.9476923098930946 loss mean : 0.20720052296322125 acc mean: 0.9372907719986255
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_157 (Dense) (None, 16) 176 _________________________________________________________________ dropout_118 (Dropout) (None, 16) 0 _________________________________________________________________ dense_158 (Dense) (None, 16) 272 _________________________________________________________________ dropout_119 (Dropout) (None, 16) 0 _________________________________________________________________ dense_159 (Dense) (None, 8) 136 _________________________________________________________________ dropout_120 (Dropout) (None, 8) 0 _________________________________________________________________ dense_160 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19922183545736166 acc max: 0.933846157514132 loss mean : 0.22911871890897934 acc mean: 0.9254523110688649
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_161 (Dense) (None, 16) 176 _________________________________________________________________ dropout_121 (Dropout) (None, 16) 0 _________________________________________________________________ dense_162 (Dense) (None, 16) 272 _________________________________________________________________ dropout_122 (Dropout) (None, 16) 0 _________________________________________________________________ dense_163 (Dense) (None, 16) 272 _________________________________________________________________ dropout_123 (Dropout) (None, 16) 0 _________________________________________________________________ dense_164 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19712993312340515 acc max: 0.946153848354633 loss mean : 0.2328930612447858 acc mean: 0.9342553870865015
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_165 (Dense) (None, 16) 176 _________________________________________________________________ dropout_124 (Dropout) (None, 16) 0 _________________________________________________________________ dense_166 (Dense) (None, 16) 272 _________________________________________________________________ dropout_125 (Dropout) (None, 16) 0 _________________________________________________________________ dense_167 (Dense) (None, 16) 272 _________________________________________________________________ dropout_126 (Dropout) (None, 16) 0 _________________________________________________________________ dense_168 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.125888008246055 acc max: 0.9630769263781034 loss mean : 0.1685646883035623 acc mean: 0.9498307726076932
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_169 (Dense) (None, 16) 176 _________________________________________________________________ dropout_127 (Dropout) (None, 16) 0 _________________________________________________________________ dense_170 (Dense) (None, 16) 272 _________________________________________________________________ dropout_128 (Dropout) (None, 16) 0 _________________________________________________________________ dense_171 (Dense) (None, 16) 272 _________________________________________________________________ dropout_129 (Dropout) (None, 16) 0 _________________________________________________________________ dense_172 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1726837382866786 acc max: 0.9446153860825759 loss mean : 0.24044064222500874 acc mean: 0.9324584642700049
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_173 (Dense) (None, 16) 176 _________________________________________________________________ dropout_130 (Dropout) (None, 16) 0 _________________________________________________________________ dense_174 (Dense) (None, 16) 272 _________________________________________________________________ dropout_131 (Dropout) (None, 16) 0 _________________________________________________________________ dense_175 (Dense) (None, 16) 272 _________________________________________________________________ dropout_132 (Dropout) (None, 16) 0 _________________________________________________________________ dense_176 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2090179165510031 acc max: 0.9369230805910551 loss mean : 0.36391461251754026 acc mean: 0.9252046190674489
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_177 (Dense) (None, 16) 176 _________________________________________________________________ dropout_133 (Dropout) (None, 16) 0 _________________________________________________________________ dense_178 (Dense) (None, 16) 272 _________________________________________________________________ dropout_134 (Dropout) (None, 16) 0 _________________________________________________________________ dense_179 (Dense) (None, 16) 272 _________________________________________________________________ dropout_135 (Dropout) (None, 16) 0 _________________________________________________________________ dense_180 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16084605813026429 acc max: 0.9492307714315561 loss mean : 0.17868503225285276 acc mean: 0.939715386782793
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_181 (Dense) (None, 16) 176 _________________________________________________________________ dropout_136 (Dropout) (None, 16) 0 _________________________________________________________________ dense_182 (Dense) (None, 16) 272 _________________________________________________________________ dropout_137 (Dropout) (None, 16) 0 _________________________________________________________________ dense_183 (Dense) (None, 16) 272 _________________________________________________________________ dropout_138 (Dropout) (None, 16) 0 _________________________________________________________________ dense_184 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.10445321798324585 acc max: 0.966153848354633 loss mean : 0.11996016675696923 acc mean: 0.9601000024243501
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_185 (Dense) (None, 16) 176 _________________________________________________________________ dropout_139 (Dropout) (None, 16) 0 _________________________________________________________________ dense_186 (Dense) (None, 16) 272 _________________________________________________________________ dropout_140 (Dropout) (None, 16) 0 _________________________________________________________________ dense_187 (Dense) (None, 16) 272 _________________________________________________________________ dropout_141 (Dropout) (None, 16) 0 _________________________________________________________________ dense_188 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16763261130222906 acc max: 0.9507692326032199 loss mean : 0.18395137191552383 acc mean: 0.9408430795209224
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_189 (Dense) (None, 16) 176 _________________________________________________________________ dropout_142 (Dropout) (None, 16) 0 _________________________________________________________________ dense_190 (Dense) (None, 16) 272 _________________________________________________________________ dropout_143 (Dropout) (None, 16) 0 _________________________________________________________________ dense_191 (Dense) (None, 16) 272 _________________________________________________________________ dropout_144 (Dropout) (None, 16) 0 _________________________________________________________________ dense_192 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21049421016986553 acc max: 0.9415384648396419 loss mean : 0.22907568566033473 acc mean: 0.9295323112832583
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_193 (Dense) (None, 32) 352 _________________________________________________________________ dropout_145 (Dropout) (None, 32) 0 _________________________________________________________________ dense_194 (Dense) (None, 8) 264 _________________________________________________________________ dropout_146 (Dropout) (None, 8) 0 _________________________________________________________________ dense_195 (Dense) (None, 4) 36 _________________________________________________________________ dropout_147 (Dropout) (None, 4) 0 _________________________________________________________________ dense_196 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2015249634706057 acc max: 0.9384615417627188 loss mean : 0.2919740748841029 acc mean: 0.9296000032014113
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_197 (Dense) (None, 32) 352 _________________________________________________________________ dropout_148 (Dropout) (None, 32) 0 _________________________________________________________________ dense_198 (Dense) (None, 8) 264 _________________________________________________________________ dropout_149 (Dropout) (None, 8) 0 _________________________________________________________________ dense_199 (Dense) (None, 4) 36 _________________________________________________________________ dropout_150 (Dropout) (None, 4) 0 _________________________________________________________________ dense_200 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12006371213839605 acc max: 0.9676923102598924 loss mean : 0.15148944501367903 acc mean: 0.9505092335783519
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_201 (Dense) (None, 32) 352 _________________________________________________________________ dropout_151 (Dropout) (None, 32) 0 _________________________________________________________________ dense_202 (Dense) (None, 8) 264 _________________________________________________________________ dropout_152 (Dropout) (None, 8) 0 _________________________________________________________________ dense_203 (Dense) (None, 4) 36 _________________________________________________________________ dropout_153 (Dropout) (None, 4) 0 _________________________________________________________________ dense_204 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1842444038620362 acc max: 0.9492307714315561 loss mean : 0.2323709182038903 acc mean: 0.9342707723341538
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_205 (Dense) (None, 32) 352 _________________________________________________________________ dropout_154 (Dropout) (None, 32) 0 _________________________________________________________________ dense_206 (Dense) (None, 8) 264 _________________________________________________________________ dropout_155 (Dropout) (None, 8) 0 _________________________________________________________________ dense_207 (Dense) (None, 4) 36 _________________________________________________________________ dropout_156 (Dropout) (None, 4) 0 _________________________________________________________________ dense_208 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.23945868648015536 acc max: 0.9338461567805364 loss mean : 0.37913033134093654 acc mean: 0.9213523115052628
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_209 (Dense) (None, 32) 352 _________________________________________________________________ dropout_157 (Dropout) (None, 32) 0 _________________________________________________________________ dense_210 (Dense) (None, 8) 264 _________________________________________________________________ dropout_158 (Dropout) (None, 8) 0 _________________________________________________________________ dense_211 (Dense) (None, 4) 36 _________________________________________________________________ dropout_159 (Dropout) (None, 4) 0 _________________________________________________________________ dense_212 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17926080093933985 acc max: 0.9538461549465473 loss mean : 0.2408410319121526 acc mean: 0.9384723093176806
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_213 (Dense) (None, 32) 352 _________________________________________________________________ dropout_160 (Dropout) (None, 32) 0 _________________________________________________________________ dense_214 (Dense) (None, 8) 264 _________________________________________________________________ dropout_161 (Dropout) (None, 8) 0 _________________________________________________________________ dense_215 (Dense) (None, 4) 36 _________________________________________________________________ dropout_162 (Dropout) (None, 4) 0 _________________________________________________________________ dense_216 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12301834606207335 acc max: 0.958461541395921 loss mean : 0.14298983566462994 acc mean: 0.9431646191314551
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_217 (Dense) (None, 32) 352 _________________________________________________________________ dropout_163 (Dropout) (None, 32) 0 _________________________________________________________________ dense_218 (Dense) (None, 8) 264 _________________________________________________________________ dropout_164 (Dropout) (None, 8) 0 _________________________________________________________________ dense_219 (Dense) (None, 4) 36 _________________________________________________________________ dropout_165 (Dropout) (None, 4) 0 _________________________________________________________________ dense_220 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1696306834771083 acc max: 0.9492307710647583 loss mean : 0.19227154849359623 acc mean: 0.9364907718194448
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_221 (Dense) (None, 32) 352 _________________________________________________________________ dropout_166 (Dropout) (None, 32) 0 _________________________________________________________________ dense_222 (Dense) (None, 8) 264 _________________________________________________________________ dropout_167 (Dropout) (None, 8) 0 _________________________________________________________________ dense_223 (Dense) (None, 4) 36 _________________________________________________________________ dropout_168 (Dropout) (None, 4) 0 _________________________________________________________________ dense_224 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20266115161088796 acc max: 0.9369230798574595 loss mean : 0.22982503591111073 acc mean: 0.9268507730031014
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_225 (Dense) (None, 32) 352 _________________________________________________________________ dropout_169 (Dropout) (None, 32) 0 _________________________________________________________________ dense_226 (Dense) (None, 8) 264 _________________________________________________________________ dropout_170 (Dropout) (None, 8) 0 _________________________________________________________________ dense_227 (Dense) (None, 8) 72 _________________________________________________________________ dropout_171 (Dropout) (None, 8) 0 _________________________________________________________________ dense_228 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17326447422687824 acc max: 0.9507692337036133 loss mean : 0.24820489940725837 acc mean: 0.9377461565769637
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_229 (Dense) (None, 32) 352 _________________________________________________________________ dropout_172 (Dropout) (None, 32) 0 _________________________________________________________________ dense_230 (Dense) (None, 8) 264 _________________________________________________________________ dropout_173 (Dropout) (None, 8) 0 _________________________________________________________________ dense_231 (Dense) (None, 8) 72 _________________________________________________________________ dropout_174 (Dropout) (None, 8) 0 _________________________________________________________________ dense_232 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.129067485836836 acc max: 0.9584615421295166 loss mean : 0.18919704508588864 acc mean: 0.9451907728072313
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_233 (Dense) (None, 32) 352 _________________________________________________________________ dropout_175 (Dropout) (None, 32) 0 _________________________________________________________________ dense_234 (Dense) (None, 8) 264 _________________________________________________________________ dropout_176 (Dropout) (None, 8) 0 _________________________________________________________________ dense_235 (Dense) (None, 8) 72 _________________________________________________________________ dropout_177 (Dropout) (None, 8) 0 _________________________________________________________________ dense_236 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18464286946333372 acc max: 0.9446153868161715 loss mean : 0.2545336920150885 acc mean: 0.9312830799154135
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_237 (Dense) (None, 32) 352 _________________________________________________________________ dropout_178 (Dropout) (None, 32) 0 _________________________________________________________________ dense_238 (Dense) (None, 8) 264 _________________________________________________________________ dropout_179 (Dropout) (None, 8) 0 _________________________________________________________________ dense_239 (Dense) (None, 8) 72 _________________________________________________________________ dropout_180 (Dropout) (None, 8) 0 _________________________________________________________________ dense_240 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21502347730673277 acc max: 0.9369230798574595 loss mean : 0.3751960111489662 acc mean: 0.9250707727177325
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_241 (Dense) (None, 32) 352 _________________________________________________________________ dropout_181 (Dropout) (None, 32) 0 _________________________________________________________________ dense_242 (Dense) (None, 8) 264 _________________________________________________________________ dropout_182 (Dropout) (None, 8) 0 _________________________________________________________________ dense_243 (Dense) (None, 8) 72 _________________________________________________________________ dropout_183 (Dropout) (None, 8) 0 _________________________________________________________________ dense_244 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16326563871823824 acc max: 0.9492307717983539 loss mean : 0.18630559567382704 acc mean: 0.9400461562508804
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_245 (Dense) (None, 32) 352 _________________________________________________________________ dropout_184 (Dropout) (None, 32) 0 _________________________________________________________________ dense_246 (Dense) (None, 8) 264 _________________________________________________________________ dropout_185 (Dropout) (None, 8) 0 _________________________________________________________________ dense_247 (Dense) (None, 8) 72 _________________________________________________________________ dropout_186 (Dropout) (None, 8) 0 _________________________________________________________________ dense_248 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12047008688633258 acc max: 0.9661538487214308 loss mean : 0.13794047272145749 acc mean: 0.9558153878867627
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_249 (Dense) (None, 32) 352 _________________________________________________________________ dropout_187 (Dropout) (None, 32) 0 _________________________________________________________________ dense_250 (Dense) (None, 8) 264 _________________________________________________________________ dropout_188 (Dropout) (None, 8) 0 _________________________________________________________________ dense_251 (Dense) (None, 8) 72 _________________________________________________________________ dropout_189 (Dropout) (None, 8) 0 _________________________________________________________________ dense_252 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18119090410379263 acc max: 0.9430769260113055 loss mean : 0.20425994783082835 acc mean: 0.9333630800769879
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_253 (Dense) (None, 32) 352 _________________________________________________________________ dropout_190 (Dropout) (None, 32) 0 _________________________________________________________________ dense_254 (Dense) (None, 8) 264 _________________________________________________________________ dropout_191 (Dropout) (None, 8) 0 _________________________________________________________________ dense_255 (Dense) (None, 8) 72 _________________________________________________________________ dropout_192 (Dropout) (None, 8) 0 _________________________________________________________________ dense_256 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19767134061226477 acc max: 0.9353846194193913 loss mean : 0.23309424321316757 acc mean: 0.9233723114015505
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_257 (Dense) (None, 32) 352 _________________________________________________________________ dropout_193 (Dropout) (None, 32) 0 _________________________________________________________________ dense_258 (Dense) (None, 8) 264 _________________________________________________________________ dropout_194 (Dropout) (None, 8) 0 _________________________________________________________________ dense_259 (Dense) (None, 16) 144 _________________________________________________________________ dropout_195 (Dropout) (None, 16) 0 _________________________________________________________________ dense_260 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17979302557615134 acc max: 0.946153848354633 loss mean : 0.2579244802290201 acc mean: 0.9350430794523313
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_261 (Dense) (None, 32) 352 _________________________________________________________________ dropout_196 (Dropout) (None, 32) 0 _________________________________________________________________ dense_262 (Dense) (None, 8) 264 _________________________________________________________________ dropout_197 (Dropout) (None, 8) 0 _________________________________________________________________ dense_263 (Dense) (None, 16) 144 _________________________________________________________________ dropout_198 (Dropout) (None, 16) 0 _________________________________________________________________ dense_264 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11616228222846985 acc max: 0.9661538490882287 loss mean : 0.1571851528207614 acc mean: 0.9560400030594606
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_265 (Dense) (None, 32) 352 _________________________________________________________________ dropout_199 (Dropout) (None, 32) 0 _________________________________________________________________ dense_266 (Dense) (None, 8) 264 _________________________________________________________________ dropout_200 (Dropout) (None, 8) 0 _________________________________________________________________ dense_267 (Dense) (None, 16) 144 _________________________________________________________________ dropout_201 (Dropout) (None, 16) 0 _________________________________________________________________ dense_268 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17913747406922853 acc max: 0.9476923098930946 loss mean : 0.23558611569496302 acc mean: 0.9311123107017004
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_269 (Dense) (None, 32) 352 _________________________________________________________________ dropout_202 (Dropout) (None, 32) 0 _________________________________________________________________ dense_270 (Dense) (None, 8) 264 _________________________________________________________________ dropout_203 (Dropout) (None, 8) 0 _________________________________________________________________ dense_271 (Dense) (None, 16) 144 _________________________________________________________________ dropout_204 (Dropout) (None, 16) 0 _________________________________________________________________ dense_272 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2139831412755526 acc max: 0.9307692340704111 loss mean : 0.36755993308938467 acc mean: 0.918752311817316
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_273 (Dense) (None, 32) 352 _________________________________________________________________ dropout_205 (Dropout) (None, 32) 0 _________________________________________________________________ dense_274 (Dense) (None, 8) 264 _________________________________________________________________ dropout_206 (Dropout) (None, 8) 0 _________________________________________________________________ dense_275 (Dense) (None, 16) 144 _________________________________________________________________ dropout_207 (Dropout) (None, 16) 0 _________________________________________________________________ dense_276 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17557150040681546 acc max: 0.9507692329700177 loss mean : 0.1921985799004023 acc mean: 0.9412169256644983
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_277 (Dense) (None, 32) 352 _________________________________________________________________ dropout_208 (Dropout) (None, 32) 0 _________________________________________________________________ dense_278 (Dense) (None, 8) 264 _________________________________________________________________ dropout_209 (Dropout) (None, 8) 0 _________________________________________________________________ dense_279 (Dense) (None, 16) 144 _________________________________________________________________ dropout_210 (Dropout) (None, 16) 0 _________________________________________________________________ dense_280 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11771807867747086 acc max: 0.9661538494550265 loss mean : 0.1276264897536773 acc mean: 0.9575015416451599
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_281 (Dense) (None, 32) 352 _________________________________________________________________ dropout_211 (Dropout) (None, 32) 0 _________________________________________________________________ dense_282 (Dense) (None, 8) 264 _________________________________________________________________ dropout_212 (Dropout) (None, 8) 0 _________________________________________________________________ dense_283 (Dense) (None, 16) 144 _________________________________________________________________ dropout_213 (Dropout) (None, 16) 0 _________________________________________________________________ dense_284 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1782577004340979 acc max: 0.9446153875497671 loss mean : 0.198513956437386 acc mean: 0.9373384644933848
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_285 (Dense) (None, 32) 352 _________________________________________________________________ dropout_214 (Dropout) (None, 32) 0 _________________________________________________________________ dense_286 (Dense) (None, 8) 264 _________________________________________________________________ dropout_215 (Dropout) (None, 8) 0 _________________________________________________________________ dense_287 (Dense) (None, 16) 144 _________________________________________________________________ dropout_216 (Dropout) (None, 16) 0 _________________________________________________________________ dense_288 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20646423536997574 acc max: 0.9400000033011803 loss mean : 0.23165508656116635 acc mean: 0.929984618704319
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_289 (Dense) (None, 32) 352 _________________________________________________________________ dropout_217 (Dropout) (None, 32) 0 _________________________________________________________________ dense_290 (Dense) (None, 16) 528 _________________________________________________________________ dropout_218 (Dropout) (None, 16) 0 _________________________________________________________________ dense_291 (Dense) (None, 4) 68 _________________________________________________________________ dropout_219 (Dropout) (None, 4) 0 _________________________________________________________________ dense_292 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18895488642729247 acc max: 0.9492307717983539 loss mean : 0.275049119689052 acc mean: 0.9414969254618425
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_293 (Dense) (None, 32) 352 _________________________________________________________________ dropout_220 (Dropout) (None, 32) 0 _________________________________________________________________ dense_294 (Dense) (None, 16) 528 _________________________________________________________________ dropout_221 (Dropout) (None, 16) 0 _________________________________________________________________ dense_295 (Dense) (None, 4) 68 _________________________________________________________________ dropout_222 (Dropout) (None, 4) 0 _________________________________________________________________ dense_296 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11838051314537341 acc max: 0.9661538487214308 loss mean : 0.17244474671918614 acc mean: 0.953932310752135
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_297 (Dense) (None, 32) 352 _________________________________________________________________ dropout_223 (Dropout) (None, 32) 0 _________________________________________________________________ dense_298 (Dense) (None, 16) 528 _________________________________________________________________ dropout_224 (Dropout) (None, 16) 0 _________________________________________________________________ dense_299 (Dense) (None, 4) 68 _________________________________________________________________ dropout_225 (Dropout) (None, 4) 0 _________________________________________________________________ dense_300 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17739797266630025 acc max: 0.9476923098930946 loss mean : 0.24905872517388603 acc mean: 0.9349507719252661
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_301 (Dense) (None, 32) 352 _________________________________________________________________ dropout_226 (Dropout) (None, 32) 0 _________________________________________________________________ dense_302 (Dense) (None, 16) 528 _________________________________________________________________ dropout_227 (Dropout) (None, 16) 0 _________________________________________________________________ dense_303 (Dense) (None, 4) 68 _________________________________________________________________ dropout_228 (Dropout) (None, 4) 0 _________________________________________________________________ dense_304 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18323105770808 acc max: 0.9400000036679781 loss mean : 0.3225476699664042 acc mean: 0.9254584658771294
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_305 (Dense) (None, 32) 352 _________________________________________________________________ dropout_229 (Dropout) (None, 32) 0 _________________________________________________________________ dense_306 (Dense) (None, 16) 528 _________________________________________________________________ dropout_230 (Dropout) (None, 16) 0 _________________________________________________________________ dense_307 (Dense) (None, 4) 68 _________________________________________________________________ dropout_231 (Dropout) (None, 4) 0 _________________________________________________________________ dense_308 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17443044245243072 acc max: 0.9476923098930946 loss mean : 0.19615328708382754 acc mean: 0.9379292330362248
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_309 (Dense) (None, 32) 352 _________________________________________________________________ dropout_232 (Dropout) (None, 32) 0 _________________________________________________________________ dense_310 (Dense) (None, 16) 528 _________________________________________________________________ dropout_233 (Dropout) (None, 16) 0 _________________________________________________________________ dense_311 (Dense) (None, 4) 68 _________________________________________________________________ dropout_234 (Dropout) (None, 4) 0 _________________________________________________________________ dense_312 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12027068614959717 acc max: 0.9676923087927012 loss mean : 0.13691377965468626 acc mean: 0.9578338490403616
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_313 (Dense) (None, 32) 352 _________________________________________________________________ dropout_235 (Dropout) (None, 32) 0 _________________________________________________________________ dense_314 (Dense) (None, 16) 528 _________________________________________________________________ dropout_236 (Dropout) (None, 16) 0 _________________________________________________________________ dense_315 (Dense) (None, 4) 68 _________________________________________________________________ dropout_237 (Dropout) (None, 4) 0 _________________________________________________________________ dense_316 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17542691327058352 acc max: 0.9538461553133452 loss mean : 0.2006805740732642 acc mean: 0.9426984637366809
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_317 (Dense) (None, 32) 352 _________________________________________________________________ dropout_238 (Dropout) (None, 32) 0 _________________________________________________________________ dense_318 (Dense) (None, 16) 528 _________________________________________________________________ dropout_239 (Dropout) (None, 16) 0 _________________________________________________________________ dense_319 (Dense) (None, 4) 68 _________________________________________________________________ dropout_240 (Dropout) (None, 4) 0 _________________________________________________________________ dense_320 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18849328834276932 acc max: 0.9430769263781034 loss mean : 0.22424303589206476 acc mean: 0.9332276956129991
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_321 (Dense) (None, 32) 352 _________________________________________________________________ dropout_241 (Dropout) (None, 32) 0 _________________________________________________________________ dense_322 (Dense) (None, 16) 528 _________________________________________________________________ dropout_242 (Dropout) (None, 16) 0 _________________________________________________________________ dense_323 (Dense) (None, 8) 136 _________________________________________________________________ dropout_243 (Dropout) (None, 8) 0 _________________________________________________________________ dense_324 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18582759341368307 acc max: 0.9553846175854023 loss mean : 0.2589303042048904 acc mean: 0.9445353871505077
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_325 (Dense) (None, 32) 352 _________________________________________________________________ dropout_244 (Dropout) (None, 32) 0 _________________________________________________________________ dense_326 (Dense) (None, 16) 528 _________________________________________________________________ dropout_245 (Dropout) (None, 16) 0 _________________________________________________________________ dense_327 (Dense) (None, 8) 136 _________________________________________________________________ dropout_246 (Dropout) (None, 8) 0 _________________________________________________________________ dense_328 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11883998948794144 acc max: 0.9676923098930946 loss mean : 0.17061910700582542 acc mean: 0.9493400033670205
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_329 (Dense) (None, 32) 352 _________________________________________________________________ dropout_247 (Dropout) (None, 32) 0 _________________________________________________________________ dense_330 (Dense) (None, 16) 528 _________________________________________________________________ dropout_248 (Dropout) (None, 16) 0 _________________________________________________________________ dense_331 (Dense) (None, 8) 136 _________________________________________________________________ dropout_249 (Dropout) (None, 8) 0 _________________________________________________________________ dense_332 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1841346362920908 acc max: 0.9400000025675846 loss mean : 0.2969753015170189 acc mean: 0.9308600032534966
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_333 (Dense) (None, 32) 352 _________________________________________________________________ dropout_250 (Dropout) (None, 32) 0 _________________________________________________________________ dense_334 (Dense) (None, 16) 528 _________________________________________________________________ dropout_251 (Dropout) (None, 16) 0 _________________________________________________________________ dense_335 (Dense) (None, 8) 136 _________________________________________________________________ dropout_252 (Dropout) (None, 8) 0 _________________________________________________________________ dense_336 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21257995628393614 acc max: 0.9323076956088726 loss mean : 0.40831947984117734 acc mean: 0.9236169270662161
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_337 (Dense) (None, 32) 352 _________________________________________________________________ dropout_253 (Dropout) (None, 32) 0 _________________________________________________________________ dense_338 (Dense) (None, 16) 528 _________________________________________________________________ dropout_254 (Dropout) (None, 16) 0 _________________________________________________________________ dense_339 (Dense) (None, 8) 136 _________________________________________________________________ dropout_255 (Dropout) (None, 8) 0 _________________________________________________________________ dense_340 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16415402630200754 acc max: 0.9476923095262968 loss mean : 0.1806897399286582 acc mean: 0.9382000022479204
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_341 (Dense) (None, 32) 352 _________________________________________________________________ dropout_256 (Dropout) (None, 32) 0 _________________________________________________________________ dense_342 (Dense) (None, 16) 528 _________________________________________________________________ dropout_257 (Dropout) (None, 16) 0 _________________________________________________________________ dense_343 (Dense) (None, 8) 136 _________________________________________________________________ dropout_258 (Dropout) (None, 8) 0 _________________________________________________________________ dense_344 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12130595812430749 acc max: 0.9615384641060463 loss mean : 0.13296631134711778 acc mean: 0.9535769263335374
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_345 (Dense) (None, 32) 352 _________________________________________________________________ dropout_259 (Dropout) (None, 32) 0 _________________________________________________________________ dense_346 (Dense) (None, 16) 528 _________________________________________________________________ dropout_260 (Dropout) (None, 16) 0 _________________________________________________________________ dense_347 (Dense) (None, 8) 136 _________________________________________________________________ dropout_261 (Dropout) (None, 8) 0 _________________________________________________________________ dense_348 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18060255091923932 acc max: 0.9492307710647583 loss mean : 0.20636290958954737 acc mean: 0.9389646179628371
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_349 (Dense) (None, 32) 352 _________________________________________________________________ dropout_262 (Dropout) (None, 32) 0 _________________________________________________________________ dense_350 (Dense) (None, 16) 528 _________________________________________________________________ dropout_263 (Dropout) (None, 16) 0 _________________________________________________________________ dense_351 (Dense) (None, 8) 136 _________________________________________________________________ dropout_264 (Dropout) (None, 8) 0 _________________________________________________________________ dense_352 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20114573877591352 acc max: 0.9384615417627188 loss mean : 0.23523453463082128 acc mean: 0.9294738494863878
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_353 (Dense) (None, 32) 352 _________________________________________________________________ dropout_265 (Dropout) (None, 32) 0 _________________________________________________________________ dense_354 (Dense) (None, 16) 528 _________________________________________________________________ dropout_266 (Dropout) (None, 16) 0 _________________________________________________________________ dense_355 (Dense) (None, 16) 272 _________________________________________________________________ dropout_267 (Dropout) (None, 16) 0 _________________________________________________________________ dense_356 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1779051597760274 acc max: 0.9461538490882286 loss mean : 0.25033306079765927 acc mean: 0.9391153870872352
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_357 (Dense) (None, 32) 352 _________________________________________________________________ dropout_268 (Dropout) (None, 32) 0 _________________________________________________________________ dense_358 (Dense) (None, 16) 528 _________________________________________________________________ dropout_269 (Dropout) (None, 16) 0 _________________________________________________________________ dense_359 (Dense) (None, 16) 272 _________________________________________________________________ dropout_270 (Dropout) (None, 16) 0 _________________________________________________________________ dense_360 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12876695146927467 acc max: 0.9646153875497672 loss mean : 0.17907000438896511 acc mean: 0.9523123104906082
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_361 (Dense) (None, 32) 352 _________________________________________________________________ dropout_271 (Dropout) (None, 32) 0 _________________________________________________________________ dense_362 (Dense) (None, 16) 528 _________________________________________________________________ dropout_272 (Dropout) (None, 16) 0 _________________________________________________________________ dense_363 (Dense) (None, 16) 272 _________________________________________________________________ dropout_273 (Dropout) (None, 16) 0 _________________________________________________________________ dense_364 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19247491391805502 acc max: 0.9492307717983539 loss mean : 0.26893136566290493 acc mean: 0.9354307721204025
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_365 (Dense) (None, 32) 352 _________________________________________________________________ dropout_274 (Dropout) (None, 32) 0 _________________________________________________________________ dense_366 (Dense) (None, 16) 528 _________________________________________________________________ dropout_275 (Dropout) (None, 16) 0 _________________________________________________________________ dense_367 (Dense) (None, 16) 272 _________________________________________________________________ dropout_276 (Dropout) (None, 16) 0 _________________________________________________________________ dense_368 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19442016046780805 acc max: 0.9430769256445077 loss mean : 0.3486622666585904 acc mean: 0.9209907733517427
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_369 (Dense) (None, 32) 352 _________________________________________________________________ dropout_277 (Dropout) (None, 32) 0 _________________________________________________________________ dense_370 (Dense) (None, 16) 528 _________________________________________________________________ dropout_278 (Dropout) (None, 16) 0 _________________________________________________________________ dense_371 (Dense) (None, 16) 272 _________________________________________________________________ dropout_279 (Dropout) (None, 16) 0 _________________________________________________________________ dense_372 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17983025562304716 acc max: 0.9538461553133452 loss mean : 0.20197265493078873 acc mean: 0.9400000020984502
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_373 (Dense) (None, 32) 352 _________________________________________________________________ dropout_280 (Dropout) (None, 32) 0 _________________________________________________________________ dense_374 (Dense) (None, 16) 528 _________________________________________________________________ dropout_281 (Dropout) (None, 16) 0 _________________________________________________________________ dense_375 (Dense) (None, 16) 272 _________________________________________________________________ dropout_282 (Dropout) (None, 16) 0 _________________________________________________________________ dense_376 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11433428319600912 acc max: 0.9646153871829694 loss mean : 0.13822337441233487 acc mean: 0.9506800029431858
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_377 (Dense) (None, 32) 352 _________________________________________________________________ dropout_283 (Dropout) (None, 32) 0 _________________________________________________________________ dense_378 (Dense) (None, 16) 528 _________________________________________________________________ dropout_284 (Dropout) (None, 16) 0 _________________________________________________________________ dense_379 (Dense) (None, 16) 272 _________________________________________________________________ dropout_285 (Dropout) (None, 16) 0 _________________________________________________________________ dense_380 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18277524879345527 acc max: 0.9507692329700177 loss mean : 0.2141889411332057 acc mean: 0.9382707719975252
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_381 (Dense) (None, 32) 352 _________________________________________________________________ dropout_286 (Dropout) (None, 32) 0 _________________________________________________________________ dense_382 (Dense) (None, 16) 528 _________________________________________________________________ dropout_287 (Dropout) (None, 16) 0 _________________________________________________________________ dense_383 (Dense) (None, 16) 272 _________________________________________________________________ dropout_288 (Dropout) (None, 16) 0 _________________________________________________________________ dense_384 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1956564098596573 acc max: 0.9430769256445077 loss mean : 0.24803825407220767 acc mean: 0.9325415418997179
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_385 (Dense) (None, 32) 352 _________________________________________________________________ dropout_289 (Dropout) (None, 32) 0 _________________________________________________________________ dense_386 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_290 (Dropout) (None, 32) 0 _________________________________________________________________ dense_387 (Dense) (None, 4) 132 _________________________________________________________________ dropout_291 (Dropout) (None, 4) 0 _________________________________________________________________ dense_388 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18525890620855184 acc max: 0.9461538487214308 loss mean : 0.270379127655121 acc mean: 0.938441541062135
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_389 (Dense) (None, 32) 352 _________________________________________________________________ dropout_292 (Dropout) (None, 32) 0 _________________________________________________________________ dense_390 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_293 (Dropout) (None, 32) 0 _________________________________________________________________ dense_391 (Dense) (None, 4) 132 _________________________________________________________________ dropout_294 (Dropout) (None, 4) 0 _________________________________________________________________ dense_392 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.120091416652386 acc max: 0.9646153875497672 loss mean : 0.16524960809565506 acc mean: 0.9529646184791052
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_393 (Dense) (None, 32) 352 _________________________________________________________________ dropout_295 (Dropout) (None, 32) 0 _________________________________________________________________ dense_394 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_296 (Dropout) (None, 32) 0 _________________________________________________________________ dense_395 (Dense) (None, 4) 132 _________________________________________________________________ dropout_297 (Dropout) (None, 4) 0 _________________________________________________________________ dense_396 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1895963521187122 acc max: 0.9461538479878352 loss mean : 0.2575637759197217 acc mean: 0.9318200026935798
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_397 (Dense) (None, 32) 352 _________________________________________________________________ dropout_298 (Dropout) (None, 32) 0 _________________________________________________________________ dense_398 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_299 (Dropout) (None, 32) 0 _________________________________________________________________ dense_399 (Dense) (None, 4) 132 _________________________________________________________________ dropout_300 (Dropout) (None, 4) 0 _________________________________________________________________ dense_400 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1943265935090872 acc max: 0.938461541395921 loss mean : 0.38124302632964574 acc mean: 0.9280938495426911
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_401 (Dense) (None, 32) 352 _________________________________________________________________ dropout_301 (Dropout) (None, 32) 0 _________________________________________________________________ dense_402 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_302 (Dropout) (None, 32) 0 _________________________________________________________________ dense_403 (Dense) (None, 4) 132 _________________________________________________________________ dropout_303 (Dropout) (None, 4) 0 _________________________________________________________________ dense_404 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17323901612025042 acc max: 0.9446153875497671 loss mean : 0.20049338472125625 acc mean: 0.937718464208933
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_405 (Dense) (None, 32) 352 _________________________________________________________________ dropout_304 (Dropout) (None, 32) 0 _________________________________________________________________ dense_406 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_305 (Dropout) (None, 32) 0 _________________________________________________________________ dense_407 (Dense) (None, 4) 132 _________________________________________________________________ dropout_306 (Dropout) (None, 4) 0 _________________________________________________________________ dense_408 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11950321747706487 acc max: 0.9646153868161715 loss mean : 0.12904827069016603 acc mean: 0.9566415417761069
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_409 (Dense) (None, 32) 352 _________________________________________________________________ dropout_307 (Dropout) (None, 32) 0 _________________________________________________________________ dense_410 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_308 (Dropout) (None, 32) 0 _________________________________________________________________ dense_411 (Dense) (None, 4) 132 _________________________________________________________________ dropout_309 (Dropout) (None, 4) 0 _________________________________________________________________ dense_412 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17450478425392738 acc max: 0.9446153871829693 loss mean : 0.20417473594541732 acc mean: 0.9341723104701593
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_413 (Dense) (None, 32) 352 _________________________________________________________________ dropout_310 (Dropout) (None, 32) 0 _________________________________________________________________ dense_414 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_311 (Dropout) (None, 32) 0 _________________________________________________________________ dense_415 (Dense) (None, 4) 132 _________________________________________________________________ dropout_312 (Dropout) (None, 4) 0 _________________________________________________________________ dense_416 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18023722864114322 acc max: 0.9446153875497671 loss mean : 0.22813820623347392 acc mean: 0.9351984650261584
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_417 (Dense) (None, 32) 352 _________________________________________________________________ dropout_313 (Dropout) (None, 32) 0 _________________________________________________________________ dense_418 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_314 (Dropout) (None, 32) 0 _________________________________________________________________ dense_419 (Dense) (None, 8) 264 _________________________________________________________________ dropout_315 (Dropout) (None, 8) 0 _________________________________________________________________ dense_420 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18300782524622403 acc max: 0.9492307721651517 loss mean : 0.32853182665724023 acc mean: 0.9377630797215609
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_421 (Dense) (None, 32) 352 _________________________________________________________________ dropout_316 (Dropout) (None, 32) 0 _________________________________________________________________ dense_422 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_317 (Dropout) (None, 32) 0 _________________________________________________________________ dense_423 (Dense) (None, 8) 264 _________________________________________________________________ dropout_318 (Dropout) (None, 8) 0 _________________________________________________________________ dense_424 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11599129461325132 acc max: 0.9630769260113056 loss mean : 0.24761106222083937 acc mean: 0.9463892340269456
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_425 (Dense) (None, 32) 352 _________________________________________________________________ dropout_319 (Dropout) (None, 32) 0 _________________________________________________________________ dense_426 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_320 (Dropout) (None, 32) 0 _________________________________________________________________ dense_427 (Dense) (None, 8) 264 _________________________________________________________________ dropout_321 (Dropout) (None, 8) 0 _________________________________________________________________ dense_428 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17412659250772916 acc max: 0.9569230791238638 loss mean : 0.2935078601247989 acc mean: 0.9421030795040498
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_429 (Dense) (None, 32) 352 _________________________________________________________________ dropout_322 (Dropout) (None, 32) 0 _________________________________________________________________ dense_430 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_323 (Dropout) (None, 32) 0 _________________________________________________________________ dense_431 (Dense) (None, 8) 264 _________________________________________________________________ dropout_324 (Dropout) (None, 8) 0 _________________________________________________________________ dense_432 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20105588775414687 acc max: 0.9384615421295166 loss mean : 0.38570749382509634 acc mean: 0.9275415422964097
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_433 (Dense) (None, 32) 352 _________________________________________________________________ dropout_325 (Dropout) (None, 32) 0 _________________________________________________________________ dense_434 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_326 (Dropout) (None, 32) 0 _________________________________________________________________ dense_435 (Dense) (None, 8) 264 _________________________________________________________________ dropout_327 (Dropout) (None, 8) 0 _________________________________________________________________ dense_436 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1739973979959121 acc max: 0.9523076945084792 loss mean : 0.20961134401523152 acc mean: 0.9440415407848359
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_437 (Dense) (None, 32) 352 _________________________________________________________________ dropout_328 (Dropout) (None, 32) 0 _________________________________________________________________ dense_438 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_329 (Dropout) (None, 32) 0 _________________________________________________________________ dense_439 (Dense) (None, 8) 264 _________________________________________________________________ dropout_330 (Dropout) (None, 8) 0 _________________________________________________________________ dense_440 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1279808248923375 acc max: 0.9646153868161715 loss mean : 0.14035026313332413 acc mean: 0.9512369259760931
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_441 (Dense) (None, 32) 352 _________________________________________________________________ dropout_331 (Dropout) (None, 32) 0 _________________________________________________________________ dense_442 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_332 (Dropout) (None, 32) 0 _________________________________________________________________ dense_443 (Dense) (None, 8) 264 _________________________________________________________________ dropout_333 (Dropout) (None, 8) 0 _________________________________________________________________ dense_444 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17632364231806535 acc max: 0.9492307714315561 loss mean : 0.2059403997600537 acc mean: 0.9413600024065604
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_445 (Dense) (None, 32) 352 _________________________________________________________________ dropout_334 (Dropout) (None, 32) 0 _________________________________________________________________ dense_446 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_335 (Dropout) (None, 32) 0 _________________________________________________________________ dense_447 (Dense) (None, 8) 264 _________________________________________________________________ dropout_336 (Dropout) (None, 8) 0 _________________________________________________________________ dense_448 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20095806429019342 acc max: 0.9400000029343825 loss mean : 0.25159966486128477 acc mean: 0.9295723111468096
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_449 (Dense) (None, 32) 352 _________________________________________________________________ dropout_337 (Dropout) (None, 32) 0 _________________________________________________________________ dense_450 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_338 (Dropout) (None, 32) 0 _________________________________________________________________ dense_451 (Dense) (None, 16) 528 _________________________________________________________________ dropout_339 (Dropout) (None, 16) 0 _________________________________________________________________ dense_452 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18568082756721058 acc max: 0.9523076945084792 loss mean : 0.2934670975398329 acc mean: 0.9432138486680618
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_453 (Dense) (None, 32) 352 _________________________________________________________________ dropout_340 (Dropout) (None, 32) 0 _________________________________________________________________ dense_454 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_341 (Dropout) (None, 32) 0 _________________________________________________________________ dense_455 (Dense) (None, 16) 528 _________________________________________________________________ dropout_342 (Dropout) (None, 16) 0 _________________________________________________________________ dense_456 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1115124655686892 acc max: 0.966153848354633 loss mean : 0.21915104183375836 acc mean: 0.9479261569962134
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_457 (Dense) (None, 32) 352 _________________________________________________________________ dropout_343 (Dropout) (None, 32) 0 _________________________________________________________________ dense_458 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_344 (Dropout) (None, 32) 0 _________________________________________________________________ dense_459 (Dense) (None, 16) 528 _________________________________________________________________ dropout_345 (Dropout) (None, 16) 0 _________________________________________________________________ dense_460 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1751829515512173 acc max: 0.9461538487214308 loss mean : 0.3219183128635241 acc mean: 0.9336876952288701
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_461 (Dense) (None, 32) 352 _________________________________________________________________ dropout_346 (Dropout) (None, 32) 0 _________________________________________________________________ dense_462 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_347 (Dropout) (None, 32) 0 _________________________________________________________________ dense_463 (Dense) (None, 16) 528 _________________________________________________________________ dropout_348 (Dropout) (None, 16) 0 _________________________________________________________________ dense_464 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19911879172691932 acc max: 0.9415384648396419 loss mean : 0.44846331578561893 acc mean: 0.9320769266322945
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_465 (Dense) (None, 32) 352 _________________________________________________________________ dropout_349 (Dropout) (None, 32) 0 _________________________________________________________________ dense_466 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_350 (Dropout) (None, 32) 0 _________________________________________________________________ dense_467 (Dense) (None, 16) 528 _________________________________________________________________ dropout_351 (Dropout) (None, 16) 0 _________________________________________________________________ dense_468 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17849090468425016 acc max: 0.9461538487214308 loss mean : 0.19422861985071346 acc mean: 0.9381415411094519
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_469 (Dense) (None, 32) 352 _________________________________________________________________ dropout_352 (Dropout) (None, 32) 0 _________________________________________________________________ dense_470 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_353 (Dropout) (None, 32) 0 _________________________________________________________________ dense_471 (Dense) (None, 16) 528 _________________________________________________________________ dropout_354 (Dropout) (None, 16) 0 _________________________________________________________________ dense_472 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11744007371939146 acc max: 0.9676923098930946 loss mean : 0.128326826828764 acc mean: 0.9596384645131918
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_473 (Dense) (None, 32) 352 _________________________________________________________________ dropout_355 (Dropout) (None, 32) 0 _________________________________________________________________ dense_474 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_356 (Dropout) (None, 32) 0 _________________________________________________________________ dense_475 (Dense) (None, 16) 528 _________________________________________________________________ dropout_357 (Dropout) (None, 16) 0 _________________________________________________________________ dense_476 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17674030400239504 acc max: 0.9430769260113055 loss mean : 0.21237013086566559 acc mean: 0.9352000029409848
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_477 (Dense) (None, 32) 352 _________________________________________________________________ dropout_358 (Dropout) (None, 32) 0 _________________________________________________________________ dense_478 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_359 (Dropout) (None, 32) 0 _________________________________________________________________ dense_479 (Dense) (None, 16) 528 _________________________________________________________________ dropout_360 (Dropout) (None, 16) 0 _________________________________________________________________ dense_480 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1977755450285398 acc max: 0.9415384644728441 loss mean : 0.25977284531446604 acc mean: 0.931820003634783
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 32 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_481 (Dense) (None, 32) 352 _________________________________________________________________ dropout_361 (Dropout) (None, 32) 0 _________________________________________________________________ dense_482 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_362 (Dropout) (None, 32) 0 _________________________________________________________________ dense_483 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_363 (Dropout) (None, 32) 0 _________________________________________________________________ dense_484 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19042042296666364 acc max: 0.9476923106266902 loss mean : 0.33432189941667595 acc mean: 0.9369938492505367
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_485 (Dense) (None, 32) 352 _________________________________________________________________ dropout_364 (Dropout) (None, 32) 0 _________________________________________________________________ dense_486 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_365 (Dropout) (None, 32) 0 _________________________________________________________________ dense_487 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_366 (Dropout) (None, 32) 0 _________________________________________________________________ dense_488 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12045736872232878 acc max: 0.9661538487214308 loss mean : 0.20529734196988436 acc mean: 0.9524276957346843
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_489 (Dense) (None, 32) 352 _________________________________________________________________ dropout_367 (Dropout) (None, 32) 0 _________________________________________________________________ dense_490 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_368 (Dropout) (None, 32) 0 _________________________________________________________________ dense_491 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_369 (Dropout) (None, 32) 0 _________________________________________________________________ dense_492 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17421386347367213 acc max: 0.9446153871829693 loss mean : 0.28057389656481835 acc mean: 0.9327553874136851
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_493 (Dense) (None, 32) 352 _________________________________________________________________ dropout_370 (Dropout) (None, 32) 0 _________________________________________________________________ dense_494 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_371 (Dropout) (None, 32) 0 _________________________________________________________________ dense_495 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_372 (Dropout) (None, 32) 0 _________________________________________________________________ dense_496 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20960059395203223 acc max: 0.933846157514132 loss mean : 0.4830864364847311 acc mean: 0.9255846189807012
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 32 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_497 (Dense) (None, 32) 352 _________________________________________________________________ dropout_373 (Dropout) (None, 32) 0 _________________________________________________________________ dense_498 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_374 (Dropout) (None, 32) 0 _________________________________________________________________ dense_499 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_375 (Dropout) (None, 32) 0 _________________________________________________________________ dense_500 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1792502591930903 acc max: 0.9492307717983539 loss mean : 0.21605551476806403 acc mean: 0.9416092332040346
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_501 (Dense) (None, 32) 352 _________________________________________________________________ dropout_376 (Dropout) (None, 32) 0 _________________________________________________________________ dense_502 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_377 (Dropout) (None, 32) 0 _________________________________________________________________ dense_503 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_378 (Dropout) (None, 32) 0 _________________________________________________________________ dense_504 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11994141179781694 acc max: 0.9615384648396419 loss mean : 0.13077535606494317 acc mean: 0.9522553878881381
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_505 (Dense) (None, 32) 352 _________________________________________________________________ dropout_379 (Dropout) (None, 32) 0 _________________________________________________________________ dense_506 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_380 (Dropout) (None, 32) 0 _________________________________________________________________ dense_507 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_381 (Dropout) (None, 32) 0 _________________________________________________________________ dense_508 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17610732064797327 acc max: 0.9492307717983539 loss mean : 0.19945364442747374 acc mean: 0.9403830796430661
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_509 (Dense) (None, 32) 352 _________________________________________________________________ dropout_382 (Dropout) (None, 32) 0 _________________________________________________________________ dense_510 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_383 (Dropout) (None, 32) 0 _________________________________________________________________ dense_511 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_384 (Dropout) (None, 32) 0 _________________________________________________________________ dense_512 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21219911323143886 acc max: 0.9369230809578529 loss mean : 0.25592754916342403 acc mean: 0.929672311192476
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_513 (Dense) (None, 16) 176 _________________________________________________________________ dropout_385 (Dropout) (None, 16) 0 _________________________________________________________________ dense_514 (Dense) (None, 8) 136 _________________________________________________________________ dropout_386 (Dropout) (None, 8) 0 _________________________________________________________________ dense_515 (Dense) (None, 4) 36 _________________________________________________________________ dropout_387 (Dropout) (None, 4) 0 _________________________________________________________________ dense_516 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19708033171983866 acc max: 0.932307694875277 loss mean : 0.23808335820904142 acc mean: 0.9083569253297494
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_517 (Dense) (None, 16) 176 _________________________________________________________________ dropout_388 (Dropout) (None, 16) 0 _________________________________________________________________ dense_518 (Dense) (None, 8) 136 _________________________________________________________________ dropout_389 (Dropout) (None, 8) 0 _________________________________________________________________ dense_519 (Dense) (None, 4) 36 _________________________________________________________________ dropout_390 (Dropout) (None, 4) 0 _________________________________________________________________ dense_520 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1385219669342041 acc max: 0.956923080591055 loss mean : 0.19051594829550159 acc mean: 0.9341261575341224
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_521 (Dense) (None, 16) 176 _________________________________________________________________ dropout_391 (Dropout) (None, 16) 0 _________________________________________________________________ dense_522 (Dense) (None, 8) 136 _________________________________________________________________ dropout_392 (Dropout) (None, 8) 0 _________________________________________________________________ dense_523 (Dense) (None, 4) 36 _________________________________________________________________ dropout_393 (Dropout) (None, 4) 0 _________________________________________________________________ dense_524 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20114623537430396 acc max: 0.9353846186857957 loss mean : 0.25553498912325273 acc mean: 0.9082692340007195
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_525 (Dense) (None, 16) 176 _________________________________________________________________ dropout_394 (Dropout) (None, 16) 0 _________________________________________________________________ dense_526 (Dense) (None, 8) 136 _________________________________________________________________ dropout_395 (Dropout) (None, 8) 0 _________________________________________________________________ dense_527 (Dense) (None, 4) 36 _________________________________________________________________ dropout_396 (Dropout) (None, 4) 0 _________________________________________________________________ dense_528 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20301333078971276 acc max: 0.9246153890169584 loss mean : 0.25919817378085397 acc mean: 0.8903815422118628
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_529 (Dense) (None, 16) 176 _________________________________________________________________ dropout_397 (Dropout) (None, 16) 0 _________________________________________________________________ dense_530 (Dense) (None, 8) 136 _________________________________________________________________ dropout_398 (Dropout) (None, 8) 0 _________________________________________________________________ dense_531 (Dense) (None, 4) 36 _________________________________________________________________ dropout_399 (Dropout) (None, 4) 0 _________________________________________________________________ dense_532 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1879451908973547 acc max: 0.9353846179522001 loss mean : 0.22848415801933178 acc mean: 0.9146800022372833
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_533 (Dense) (None, 16) 176 _________________________________________________________________ dropout_400 (Dropout) (None, 16) 0 _________________________________________________________________ dense_534 (Dense) (None, 8) 136 _________________________________________________________________ dropout_401 (Dropout) (None, 8) 0 _________________________________________________________________ dense_535 (Dense) (None, 4) 36 _________________________________________________________________ dropout_402 (Dropout) (None, 4) 0 _________________________________________________________________ dense_536 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13983168794558598 acc max: 0.9584615421295166 loss mean : 0.193681715272665 acc mean: 0.9335246190384717
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_537 (Dense) (None, 16) 176 _________________________________________________________________ dropout_403 (Dropout) (None, 16) 0 _________________________________________________________________ dense_538 (Dense) (None, 8) 136 _________________________________________________________________ dropout_404 (Dropout) (None, 8) 0 _________________________________________________________________ dense_539 (Dense) (None, 4) 36 _________________________________________________________________ dropout_405 (Dropout) (None, 4) 0 _________________________________________________________________ dense_540 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2125855661355532 acc max: 0.9400000029343825 loss mean : 0.2702422465410141 acc mean: 0.9034723108350315
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_541 (Dense) (None, 16) 176 _________________________________________________________________ dropout_406 (Dropout) (None, 16) 0 _________________________________________________________________ dense_542 (Dense) (None, 8) 136 _________________________________________________________________ dropout_407 (Dropout) (None, 8) 0 _________________________________________________________________ dense_543 (Dense) (None, 4) 36 _________________________________________________________________ dropout_408 (Dropout) (None, 4) 0 _________________________________________________________________ dense_544 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19702182627641238 acc max: 0.9200000044015738 loss mean : 0.22940625090186412 acc mean: 0.9041246194494688
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_545 (Dense) (None, 16) 176 _________________________________________________________________ dropout_409 (Dropout) (None, 16) 0 _________________________________________________________________ dense_546 (Dense) (None, 8) 136 _________________________________________________________________ dropout_410 (Dropout) (None, 8) 0 _________________________________________________________________ dense_547 (Dense) (None, 8) 72 _________________________________________________________________ dropout_411 (Dropout) (None, 8) 0 _________________________________________________________________ dense_548 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18057423261495736 acc max: 0.9353846175854023 loss mean : 0.21959024819458903 acc mean: 0.9182815405970355
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_549 (Dense) (None, 16) 176 _________________________________________________________________ dropout_412 (Dropout) (None, 16) 0 _________________________________________________________________ dense_550 (Dense) (None, 8) 136 _________________________________________________________________ dropout_413 (Dropout) (None, 8) 0 _________________________________________________________________ dense_551 (Dense) (None, 8) 72 _________________________________________________________________ dropout_414 (Dropout) (None, 8) 0 _________________________________________________________________ dense_552 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13540914452992953 acc max: 0.9569230809578528 loss mean : 0.1721594040602904 acc mean: 0.9393353889386469
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_553 (Dense) (None, 16) 176 _________________________________________________________________ dropout_415 (Dropout) (None, 16) 0 _________________________________________________________________ dense_554 (Dense) (None, 8) 136 _________________________________________________________________ dropout_416 (Dropout) (None, 8) 0 _________________________________________________________________ dense_555 (Dense) (None, 8) 72 _________________________________________________________________ dropout_417 (Dropout) (None, 8) 0 _________________________________________________________________ dense_556 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20101009043363424 acc max: 0.9369230802242573 loss mean : 0.2423164925125929 acc mean: 0.9143800034495501
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_557 (Dense) (None, 16) 176 _________________________________________________________________ dropout_418 (Dropout) (None, 16) 0 _________________________________________________________________ dense_558 (Dense) (None, 8) 136 _________________________________________________________________ dropout_419 (Dropout) (None, 8) 0 _________________________________________________________________ dense_559 (Dense) (None, 8) 72 _________________________________________________________________ dropout_420 (Dropout) (None, 8) 0 _________________________________________________________________ dense_560 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19793203262182382 acc max: 0.9230769278452946 loss mean : 0.22987007466815987 acc mean: 0.9058923118948936
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_561 (Dense) (None, 16) 176 _________________________________________________________________ dropout_421 (Dropout) (None, 16) 0 _________________________________________________________________ dense_562 (Dense) (None, 8) 136 _________________________________________________________________ dropout_422 (Dropout) (None, 8) 0 _________________________________________________________________ dense_563 (Dense) (None, 8) 72 _________________________________________________________________ dropout_423 (Dropout) (None, 8) 0 _________________________________________________________________ dense_564 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1835399305820465 acc max: 0.9400000022007868 loss mean : 0.21748582488165455 acc mean: 0.9212584634584648
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_565 (Dense) (None, 16) 176 _________________________________________________________________ dropout_424 (Dropout) (None, 16) 0 _________________________________________________________________ dense_566 (Dense) (None, 8) 136 _________________________________________________________________ dropout_425 (Dropout) (None, 8) 0 _________________________________________________________________ dense_567 (Dense) (None, 8) 72 _________________________________________________________________ dropout_426 (Dropout) (None, 8) 0 _________________________________________________________________ dense_568 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13917891268546764 acc max: 0.9600000033011803 loss mean : 0.1872807821521392 acc mean: 0.9346830805978407
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_569 (Dense) (None, 16) 176 _________________________________________________________________ dropout_427 (Dropout) (None, 16) 0 _________________________________________________________________ dense_570 (Dense) (None, 8) 136 _________________________________________________________________ dropout_428 (Dropout) (None, 8) 0 _________________________________________________________________ dense_571 (Dense) (None, 8) 72 _________________________________________________________________ dropout_429 (Dropout) (None, 8) 0 _________________________________________________________________ dense_572 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20180527719167562 acc max: 0.9400000025675846 loss mean : 0.2503805218515946 acc mean: 0.9143723108143073
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_573 (Dense) (None, 16) 176 _________________________________________________________________ dropout_430 (Dropout) (None, 16) 0 _________________________________________________________________ dense_574 (Dense) (None, 8) 136 _________________________________________________________________ dropout_431 (Dropout) (None, 8) 0 _________________________________________________________________ dense_575 (Dense) (None, 8) 72 _________________________________________________________________ dropout_432 (Dropout) (None, 8) 0 _________________________________________________________________ dense_576 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19580962657928466 acc max: 0.9230769274784969 loss mean : 0.23256307336953969 acc mean: 0.9041569268958385
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_577 (Dense) (None, 16) 176 _________________________________________________________________ dropout_433 (Dropout) (None, 16) 0 _________________________________________________________________ dense_578 (Dense) (None, 8) 136 _________________________________________________________________ dropout_434 (Dropout) (None, 8) 0 _________________________________________________________________ dense_579 (Dense) (None, 16) 144 _________________________________________________________________ dropout_435 (Dropout) (None, 16) 0 _________________________________________________________________ dense_580 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17954410014244226 acc max: 0.9338461560469408 loss mean : 0.21128517292288634 acc mean: 0.9200261559873361
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_581 (Dense) (None, 16) 176 _________________________________________________________________ dropout_436 (Dropout) (None, 16) 0 _________________________________________________________________ dense_582 (Dense) (None, 8) 136 _________________________________________________________________ dropout_437 (Dropout) (None, 8) 0 _________________________________________________________________ dense_583 (Dense) (None, 16) 144 _________________________________________________________________ dropout_438 (Dropout) (None, 16) 0 _________________________________________________________________ dense_584 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13666596247599674 acc max: 0.9584615424963144 loss mean : 0.17901267330939954 acc mean: 0.936660003779668
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_585 (Dense) (None, 16) 176 _________________________________________________________________ dropout_439 (Dropout) (None, 16) 0 _________________________________________________________________ dense_586 (Dense) (None, 8) 136 _________________________________________________________________ dropout_440 (Dropout) (None, 8) 0 _________________________________________________________________ dense_587 (Dense) (None, 16) 144 _________________________________________________________________ dropout_441 (Dropout) (None, 16) 0 _________________________________________________________________ dense_588 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19864457588929396 acc max: 0.9353846186857957 loss mean : 0.2437796457062776 acc mean: 0.9088369267347226
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_589 (Dense) (None, 16) 176 _________________________________________________________________ dropout_442 (Dropout) (None, 16) 0 _________________________________________________________________ dense_590 (Dense) (None, 8) 136 _________________________________________________________________ dropout_443 (Dropout) (None, 8) 0 _________________________________________________________________ dense_591 (Dense) (None, 16) 144 _________________________________________________________________ dropout_444 (Dropout) (None, 16) 0 _________________________________________________________________ dense_592 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19374719165838683 acc max: 0.9261538501886221 loss mean : 0.22310957246436525 acc mean: 0.9077923119370754
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_593 (Dense) (None, 16) 176 _________________________________________________________________ dropout_445 (Dropout) (None, 16) 0 _________________________________________________________________ dense_594 (Dense) (None, 8) 136 _________________________________________________________________ dropout_446 (Dropout) (None, 8) 0 _________________________________________________________________ dense_595 (Dense) (None, 16) 144 _________________________________________________________________ dropout_447 (Dropout) (None, 16) 0 _________________________________________________________________ dense_596 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17764713003085209 acc max: 0.9384615402955275 loss mean : 0.2185431826381729 acc mean: 0.9203707711210618
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_597 (Dense) (None, 16) 176 _________________________________________________________________ dropout_448 (Dropout) (None, 16) 0 _________________________________________________________________ dense_598 (Dense) (None, 8) 136 _________________________________________________________________ dropout_449 (Dropout) (None, 8) 0 _________________________________________________________________ dense_599 (Dense) (None, 16) 144 _________________________________________________________________ dropout_450 (Dropout) (None, 16) 0 _________________________________________________________________ dense_600 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13863952898062193 acc max: 0.9569230809578528 loss mean : 0.18290296537495576 acc mean: 0.9361984654958431
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_601 (Dense) (None, 16) 176 _________________________________________________________________ dropout_451 (Dropout) (None, 16) 0 _________________________________________________________________ dense_602 (Dense) (None, 8) 136 _________________________________________________________________ dropout_452 (Dropout) (None, 8) 0 _________________________________________________________________ dense_603 (Dense) (None, 16) 144 _________________________________________________________________ dropout_453 (Dropout) (None, 16) 0 _________________________________________________________________ dense_604 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21229783388284537 acc max: 0.9353846183189979 loss mean : 0.26327755237950723 acc mean: 0.9066276952913174
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_605 (Dense) (None, 16) 176 _________________________________________________________________ dropout_454 (Dropout) (None, 16) 0 _________________________________________________________________ dense_606 (Dense) (None, 8) 136 _________________________________________________________________ dropout_455 (Dropout) (None, 8) 0 _________________________________________________________________ dense_607 (Dense) (None, 16) 144 _________________________________________________________________ dropout_456 (Dropout) (None, 16) 0 _________________________________________________________________ dense_608 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2006969314813614 acc max: 0.9261538501886221 loss mean : 0.23716214291563398 acc mean: 0.9025384652546736
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_609 (Dense) (None, 16) 176 _________________________________________________________________ dropout_457 (Dropout) (None, 16) 0 _________________________________________________________________ dense_610 (Dense) (None, 16) 272 _________________________________________________________________ dropout_458 (Dropout) (None, 16) 0 _________________________________________________________________ dense_611 (Dense) (None, 4) 68 _________________________________________________________________ dropout_459 (Dropout) (None, 4) 0 _________________________________________________________________ dense_612 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19150076552079273 acc max: 0.9353846175854023 loss mean : 0.21467191151985757 acc mean: 0.9221430790622418
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_613 (Dense) (None, 16) 176 _________________________________________________________________ dropout_460 (Dropout) (None, 16) 0 _________________________________________________________________ dense_614 (Dense) (None, 16) 272 _________________________________________________________________ dropout_461 (Dropout) (None, 16) 0 _________________________________________________________________ dense_615 (Dense) (None, 4) 68 _________________________________________________________________ dropout_462 (Dropout) (None, 4) 0 _________________________________________________________________ dense_616 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13700024664402008 acc max: 0.9615384652064397 loss mean : 0.17110862324476245 acc mean: 0.9424492349177142
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_617 (Dense) (None, 16) 176 _________________________________________________________________ dropout_463 (Dropout) (None, 16) 0 _________________________________________________________________ dense_618 (Dense) (None, 16) 272 _________________________________________________________________ dropout_464 (Dropout) (None, 16) 0 _________________________________________________________________ dense_619 (Dense) (None, 4) 68 _________________________________________________________________ dropout_465 (Dropout) (None, 4) 0 _________________________________________________________________ dense_620 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20571278952635252 acc max: 0.9384615410291232 loss mean : 0.27197943127086527 acc mean: 0.8974569261676532
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_621 (Dense) (None, 16) 176 _________________________________________________________________ dropout_466 (Dropout) (None, 16) 0 _________________________________________________________________ dense_622 (Dense) (None, 16) 272 _________________________________________________________________ dropout_467 (Dropout) (None, 16) 0 _________________________________________________________________ dense_623 (Dense) (None, 4) 68 _________________________________________________________________ dropout_468 (Dropout) (None, 4) 0 _________________________________________________________________ dense_624 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1965394362119528 acc max: 0.9261538501886221 loss mean : 0.2250155147028428 acc mean: 0.910632311669313
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_625 (Dense) (None, 16) 176 _________________________________________________________________ dropout_469 (Dropout) (None, 16) 0 _________________________________________________________________ dense_626 (Dense) (None, 16) 272 _________________________________________________________________ dropout_470 (Dropout) (None, 16) 0 _________________________________________________________________ dense_627 (Dense) (None, 4) 68 _________________________________________________________________ dropout_471 (Dropout) (None, 4) 0 _________________________________________________________________ dense_628 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18232072523007026 acc max: 0.940000001833989 loss mean : 0.2246656477292226 acc mean: 0.9148923098696194
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_629 (Dense) (None, 16) 176 _________________________________________________________________ dropout_472 (Dropout) (None, 16) 0 _________________________________________________________________ dense_630 (Dense) (None, 16) 272 _________________________________________________________________ dropout_473 (Dropout) (None, 16) 0 _________________________________________________________________ dense_631 (Dense) (None, 4) 68 _________________________________________________________________ dropout_474 (Dropout) (None, 4) 0 _________________________________________________________________ dense_632 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.14305015270526591 acc max: 0.9600000033011803 loss mean : 0.20098520170211792 acc mean: 0.9309461573589765
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_633 (Dense) (None, 16) 176 _________________________________________________________________ dropout_475 (Dropout) (None, 16) 0 _________________________________________________________________ dense_634 (Dense) (None, 16) 272 _________________________________________________________________ dropout_476 (Dropout) (None, 16) 0 _________________________________________________________________ dense_635 (Dense) (None, 4) 68 _________________________________________________________________ dropout_477 (Dropout) (None, 4) 0 _________________________________________________________________ dense_636 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21897187920717093 acc max: 0.9323076952420748 loss mean : 0.2807909983365811 acc mean: 0.8916000030628534
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_637 (Dense) (None, 16) 176 _________________________________________________________________ dropout_478 (Dropout) (None, 16) 0 _________________________________________________________________ dense_638 (Dense) (None, 16) 272 _________________________________________________________________ dropout_479 (Dropout) (None, 16) 0 _________________________________________________________________ dense_639 (Dense) (None, 4) 68 _________________________________________________________________ dropout_480 (Dropout) (None, 4) 0 _________________________________________________________________ dense_640 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.190781361414836 acc max: 0.9276923117270837 loss mean : 0.22603650848805903 acc mean: 0.9079338500609766
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_641 (Dense) (None, 16) 176 _________________________________________________________________ dropout_481 (Dropout) (None, 16) 0 _________________________________________________________________ dense_642 (Dense) (None, 16) 272 _________________________________________________________________ dropout_482 (Dropout) (None, 16) 0 _________________________________________________________________ dense_643 (Dense) (None, 8) 136 _________________________________________________________________ dropout_483 (Dropout) (None, 8) 0 _________________________________________________________________ dense_644 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1787098156947356 acc max: 0.9415384630056528 loss mean : 0.21233091602213108 acc mean: 0.9248369251258557
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_645 (Dense) (None, 16) 176 _________________________________________________________________ dropout_484 (Dropout) (None, 16) 0 _________________________________________________________________ dense_646 (Dense) (None, 16) 272 _________________________________________________________________ dropout_485 (Dropout) (None, 16) 0 _________________________________________________________________ dense_647 (Dense) (None, 8) 136 _________________________________________________________________ dropout_486 (Dropout) (None, 8) 0 _________________________________________________________________ dense_648 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13831867208847634 acc max: 0.9600000033011803 loss mean : 0.1764199199394538 acc mean: 0.9386030810974194
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_649 (Dense) (None, 16) 176 _________________________________________________________________ dropout_487 (Dropout) (None, 16) 0 _________________________________________________________________ dense_650 (Dense) (None, 16) 272 _________________________________________________________________ dropout_488 (Dropout) (None, 16) 0 _________________________________________________________________ dense_651 (Dense) (None, 8) 136 _________________________________________________________________ dropout_489 (Dropout) (None, 8) 0 _________________________________________________________________ dense_652 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2033862853050232 acc max: 0.9338461567805364 loss mean : 0.24862708555501242 acc mean: 0.9092338493902866
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_653 (Dense) (None, 16) 176 _________________________________________________________________ dropout_490 (Dropout) (None, 16) 0 _________________________________________________________________ dense_654 (Dense) (None, 16) 272 _________________________________________________________________ dropout_491 (Dropout) (None, 16) 0 _________________________________________________________________ dense_655 (Dense) (None, 8) 136 _________________________________________________________________ dropout_492 (Dropout) (None, 8) 0 _________________________________________________________________ dense_656 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19987832981806536 acc max: 0.9230769274784969 loss mean : 0.2485919135541182 acc mean: 0.8909492347354155
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_657 (Dense) (None, 16) 176 _________________________________________________________________ dropout_493 (Dropout) (None, 16) 0 _________________________________________________________________ dense_658 (Dense) (None, 16) 272 _________________________________________________________________ dropout_494 (Dropout) (None, 16) 0 _________________________________________________________________ dense_659 (Dense) (None, 8) 136 _________________________________________________________________ dropout_495 (Dropout) (None, 8) 0 _________________________________________________________________ dense_660 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1703832405117842 acc max: 0.9384615406623253 loss mean : 0.2124555199678815 acc mean: 0.9215092328201808
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_661 (Dense) (None, 16) 176 _________________________________________________________________ dropout_496 (Dropout) (None, 16) 0 _________________________________________________________________ dense_662 (Dense) (None, 16) 272 _________________________________________________________________ dropout_497 (Dropout) (None, 16) 0 _________________________________________________________________ dense_663 (Dense) (None, 8) 136 _________________________________________________________________ dropout_498 (Dropout) (None, 8) 0 _________________________________________________________________ dense_664 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1346875364963825 acc max: 0.9569230809578528 loss mean : 0.17413093658713194 acc mean: 0.9411553882993183
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_665 (Dense) (None, 16) 176 _________________________________________________________________ dropout_499 (Dropout) (None, 16) 0 _________________________________________________________________ dense_666 (Dense) (None, 16) 272 _________________________________________________________________ dropout_500 (Dropout) (None, 16) 0 _________________________________________________________________ dense_667 (Dense) (None, 8) 136 _________________________________________________________________ dropout_501 (Dropout) (None, 8) 0 _________________________________________________________________ dense_668 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20102964103221893 acc max: 0.9415384641060462 loss mean : 0.23774876393721653 acc mean: 0.9233815414181122
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_669 (Dense) (None, 16) 176 _________________________________________________________________ dropout_502 (Dropout) (None, 16) 0 _________________________________________________________________ dense_670 (Dense) (None, 16) 272 _________________________________________________________________ dropout_503 (Dropout) (None, 16) 0 _________________________________________________________________ dense_671 (Dense) (None, 8) 136 _________________________________________________________________ dropout_504 (Dropout) (None, 8) 0 _________________________________________________________________ dense_672 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19141904363265405 acc max: 0.9246153886501606 loss mean : 0.2193841106752249 acc mean: 0.9090046195343825
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_673 (Dense) (None, 16) 176 _________________________________________________________________ dropout_505 (Dropout) (None, 16) 0 _________________________________________________________________ dense_674 (Dense) (None, 16) 272 _________________________________________________________________ dropout_506 (Dropout) (None, 16) 0 _________________________________________________________________ dense_675 (Dense) (None, 16) 272 _________________________________________________________________ dropout_507 (Dropout) (None, 16) 0 _________________________________________________________________ dense_676 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17814449892594264 acc max: 0.9400000022007868 loss mean : 0.20781552155428207 acc mean: 0.9259015406021704
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_677 (Dense) (None, 16) 176 _________________________________________________________________ dropout_508 (Dropout) (None, 16) 0 _________________________________________________________________ dense_678 (Dense) (None, 16) 272 _________________________________________________________________ dropout_509 (Dropout) (None, 16) 0 _________________________________________________________________ dense_679 (Dense) (None, 16) 272 _________________________________________________________________ dropout_510 (Dropout) (None, 16) 0 _________________________________________________________________ dense_680 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12842550186010507 acc max: 0.9600000033011803 loss mean : 0.16158273905492745 acc mean: 0.9445907734445423
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_681 (Dense) (None, 16) 176 _________________________________________________________________ dropout_511 (Dropout) (None, 16) 0 _________________________________________________________________ dense_682 (Dense) (None, 16) 272 _________________________________________________________________ dropout_512 (Dropout) (None, 16) 0 _________________________________________________________________ dense_683 (Dense) (None, 16) 272 _________________________________________________________________ dropout_513 (Dropout) (None, 16) 0 _________________________________________________________________ dense_684 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20741116399948414 acc max: 0.9323076956088726 loss mean : 0.24090627627120567 acc mean: 0.9159538500142098
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_685 (Dense) (None, 16) 176 _________________________________________________________________ dropout_514 (Dropout) (None, 16) 0 _________________________________________________________________ dense_686 (Dense) (None, 16) 272 _________________________________________________________________ dropout_515 (Dropout) (None, 16) 0 _________________________________________________________________ dense_687 (Dense) (None, 16) 272 _________________________________________________________________ dropout_516 (Dropout) (None, 16) 0 _________________________________________________________________ dense_688 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19584441038278433 acc max: 0.9323076959756704 loss mean : 0.2259207242413209 acc mean: 0.9113553884130257
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_689 (Dense) (None, 16) 176 _________________________________________________________________ dropout_517 (Dropout) (None, 16) 0 _________________________________________________________________ dense_690 (Dense) (None, 16) 272 _________________________________________________________________ dropout_518 (Dropout) (None, 16) 0 _________________________________________________________________ dense_691 (Dense) (None, 16) 272 _________________________________________________________________ dropout_519 (Dropout) (None, 16) 0 _________________________________________________________________ dense_692 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.179853875041008 acc max: 0.9323076945084792 loss mean : 0.2303675180634627 acc mean: 0.9062676946968757
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_693 (Dense) (None, 16) 176 _________________________________________________________________ dropout_520 (Dropout) (None, 16) 0 _________________________________________________________________ dense_694 (Dense) (None, 16) 272 _________________________________________________________________ dropout_521 (Dropout) (None, 16) 0 _________________________________________________________________ dense_695 (Dense) (None, 16) 272 _________________________________________________________________ dropout_522 (Dropout) (None, 16) 0 _________________________________________________________________ dense_696 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13655182604606336 acc max: 0.9600000033011803 loss mean : 0.17266274205262847 acc mean: 0.9426815420086566
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_697 (Dense) (None, 16) 176 _________________________________________________________________ dropout_523 (Dropout) (None, 16) 0 _________________________________________________________________ dense_698 (Dense) (None, 16) 272 _________________________________________________________________ dropout_524 (Dropout) (None, 16) 0 _________________________________________________________________ dense_699 (Dense) (None, 16) 272 _________________________________________________________________ dropout_525 (Dropout) (None, 16) 0 _________________________________________________________________ dense_700 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2057303985265585 acc max: 0.9353846183189979 loss mean : 0.24351329683500983 acc mean: 0.9172692341149771
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_701 (Dense) (None, 16) 176 _________________________________________________________________ dropout_526 (Dropout) (None, 16) 0 _________________________________________________________________ dense_702 (Dense) (None, 16) 272 _________________________________________________________________ dropout_527 (Dropout) (None, 16) 0 _________________________________________________________________ dense_703 (Dense) (None, 16) 272 _________________________________________________________________ dropout_528 (Dropout) (None, 16) 0 _________________________________________________________________ dense_704 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1874659195771584 acc max: 0.9276923117270837 loss mean : 0.21532852318268556 acc mean: 0.9122800041501339
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_705 (Dense) (None, 32) 352 _________________________________________________________________ dropout_529 (Dropout) (None, 32) 0 _________________________________________________________________ dense_706 (Dense) (None, 8) 264 _________________________________________________________________ dropout_530 (Dropout) (None, 8) 0 _________________________________________________________________ dense_707 (Dense) (None, 4) 36 _________________________________________________________________ dropout_531 (Dropout) (None, 4) 0 _________________________________________________________________ dense_708 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18732519855866064 acc max: 0.9338461564137386 loss mean : 0.22525898638147573 acc mean: 0.9162830794018967
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_709 (Dense) (None, 32) 352 _________________________________________________________________ dropout_532 (Dropout) (None, 32) 0 _________________________________________________________________ dense_710 (Dense) (None, 8) 264 _________________________________________________________________ dropout_533 (Dropout) (None, 8) 0 _________________________________________________________________ dense_711 (Dense) (None, 4) 36 _________________________________________________________________ dropout_534 (Dropout) (None, 4) 0 _________________________________________________________________ dense_712 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1336325195660958 acc max: 0.9569230809578528 loss mean : 0.18165085720424468 acc mean: 0.9361230809092521
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_713 (Dense) (None, 32) 352 _________________________________________________________________ dropout_535 (Dropout) (None, 32) 0 _________________________________________________________________ dense_714 (Dense) (None, 8) 264 _________________________________________________________________ dropout_536 (Dropout) (None, 8) 0 _________________________________________________________________ dense_715 (Dense) (None, 4) 36 _________________________________________________________________ dropout_537 (Dropout) (None, 4) 0 _________________________________________________________________ dense_716 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19386921048164368 acc max: 0.9400000025675846 loss mean : 0.2371737191562469 acc mean: 0.9190153876139568
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_717 (Dense) (None, 32) 352 _________________________________________________________________ dropout_538 (Dropout) (None, 32) 0 _________________________________________________________________ dense_718 (Dense) (None, 8) 264 _________________________________________________________________ dropout_539 (Dropout) (None, 8) 0 _________________________________________________________________ dense_719 (Dense) (None, 4) 36 _________________________________________________________________ dropout_540 (Dropout) (None, 4) 0 _________________________________________________________________ dense_720 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19500738703287565 acc max: 0.9276923120938815 loss mean : 0.22658318988029774 acc mean: 0.909926158061761
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_721 (Dense) (None, 32) 352 _________________________________________________________________ dropout_541 (Dropout) (None, 32) 0 _________________________________________________________________ dense_722 (Dense) (None, 8) 264 _________________________________________________________________ dropout_542 (Dropout) (None, 8) 0 _________________________________________________________________ dense_723 (Dense) (None, 4) 36 _________________________________________________________________ dropout_543 (Dropout) (None, 4) 0 _________________________________________________________________ dense_724 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1844082493506945 acc max: 0.9369230791238639 loss mean : 0.2315807575920912 acc mean: 0.908735386876739
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_725 (Dense) (None, 32) 352 _________________________________________________________________ dropout_544 (Dropout) (None, 32) 0 _________________________________________________________________ dense_726 (Dense) (None, 8) 264 _________________________________________________________________ dropout_545 (Dropout) (None, 8) 0 _________________________________________________________________ dense_727 (Dense) (None, 4) 36 _________________________________________________________________ dropout_546 (Dropout) (None, 4) 0 _________________________________________________________________ dense_728 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13610098760861616 acc max: 0.9584615421295166 loss mean : 0.1798889807298092 acc mean: 0.9362784654103793
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_729 (Dense) (None, 32) 352 _________________________________________________________________ dropout_547 (Dropout) (None, 32) 0 _________________________________________________________________ dense_730 (Dense) (None, 8) 264 _________________________________________________________________ dropout_548 (Dropout) (None, 8) 0 _________________________________________________________________ dense_731 (Dense) (None, 4) 36 _________________________________________________________________ dropout_549 (Dropout) (None, 4) 0 _________________________________________________________________ dense_732 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21054817928717687 acc max: 0.9384615410291232 loss mean : 0.25272748093073183 acc mean: 0.9150492337485462
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_733 (Dense) (None, 32) 352 _________________________________________________________________ dropout_550 (Dropout) (None, 32) 0 _________________________________________________________________ dense_734 (Dense) (None, 8) 264 _________________________________________________________________ dropout_551 (Dropout) (None, 8) 0 _________________________________________________________________ dense_735 (Dense) (None, 4) 36 _________________________________________________________________ dropout_552 (Dropout) (None, 4) 0 _________________________________________________________________ dense_736 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19880331300772153 acc max: 0.9230769271116991 loss mean : 0.24532481107326654 acc mean: 0.900916926751687
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_737 (Dense) (None, 32) 352 _________________________________________________________________ dropout_553 (Dropout) (None, 32) 0 _________________________________________________________________ dense_738 (Dense) (None, 8) 264 _________________________________________________________________ dropout_554 (Dropout) (None, 8) 0 _________________________________________________________________ dense_739 (Dense) (None, 8) 72 _________________________________________________________________ dropout_555 (Dropout) (None, 8) 0 _________________________________________________________________ dense_740 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18630054719172992 acc max: 0.9353846175854023 loss mean : 0.21913178307448442 acc mean: 0.9197492331016981
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_741 (Dense) (None, 32) 352 _________________________________________________________________ dropout_556 (Dropout) (None, 32) 0 _________________________________________________________________ dense_742 (Dense) (None, 8) 264 _________________________________________________________________ dropout_557 (Dropout) (None, 8) 0 _________________________________________________________________ dense_743 (Dense) (None, 8) 72 _________________________________________________________________ dropout_558 (Dropout) (None, 8) 0 _________________________________________________________________ dense_744 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12860387770029214 acc max: 0.9615384652064397 loss mean : 0.18396617836507465 acc mean: 0.9295800038348712
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_745 (Dense) (None, 32) 352 _________________________________________________________________ dropout_559 (Dropout) (None, 32) 0 _________________________________________________________________ dense_746 (Dense) (None, 8) 264 _________________________________________________________________ dropout_560 (Dropout) (None, 8) 0 _________________________________________________________________ dense_747 (Dense) (None, 8) 72 _________________________________________________________________ dropout_561 (Dropout) (None, 8) 0 _________________________________________________________________ dense_748 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19155827036270728 acc max: 0.9415384641060462 loss mean : 0.2414017286060407 acc mean: 0.9153676956695777
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_749 (Dense) (None, 32) 352 _________________________________________________________________ dropout_562 (Dropout) (None, 32) 0 _________________________________________________________________ dense_750 (Dense) (None, 8) 264 _________________________________________________________________ dropout_563 (Dropout) (None, 8) 0 _________________________________________________________________ dense_751 (Dense) (None, 8) 72 _________________________________________________________________ dropout_564 (Dropout) (None, 8) 0 _________________________________________________________________ dense_752 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1890146824488273 acc max: 0.929230773632343 loss mean : 0.23124215905666354 acc mean: 0.9014169272947312
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_753 (Dense) (None, 32) 352 _________________________________________________________________ dropout_565 (Dropout) (None, 32) 0 _________________________________________________________________ dense_754 (Dense) (None, 8) 264 _________________________________________________________________ dropout_566 (Dropout) (None, 8) 0 _________________________________________________________________ dense_755 (Dense) (None, 8) 72 _________________________________________________________________ dropout_567 (Dropout) (None, 8) 0 _________________________________________________________________ dense_756 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17896764571850116 acc max: 0.9384615402955275 loss mean : 0.21369497110602947 acc mean: 0.9217292328012908
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_757 (Dense) (None, 32) 352 _________________________________________________________________ dropout_568 (Dropout) (None, 32) 0 _________________________________________________________________ dense_758 (Dense) (None, 8) 264 _________________________________________________________________ dropout_569 (Dropout) (None, 8) 0 _________________________________________________________________ dense_759 (Dense) (None, 8) 72 _________________________________________________________________ dropout_570 (Dropout) (None, 8) 0 _________________________________________________________________ dense_760 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1290729303084887 acc max: 0.9584615421295166 loss mean : 0.16626145651780644 acc mean: 0.9432600036931037
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_761 (Dense) (None, 32) 352 _________________________________________________________________ dropout_571 (Dropout) (None, 32) 0 _________________________________________________________________ dense_762 (Dense) (None, 8) 264 _________________________________________________________________ dropout_572 (Dropout) (None, 8) 0 _________________________________________________________________ dense_763 (Dense) (None, 8) 72 _________________________________________________________________ dropout_573 (Dropout) (None, 8) 0 _________________________________________________________________ dense_764 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20269100670631116 acc max: 0.9400000025675846 loss mean : 0.24116950631737705 acc mean: 0.9210830799014752
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_765 (Dense) (None, 32) 352 _________________________________________________________________ dropout_574 (Dropout) (None, 32) 0 _________________________________________________________________ dense_766 (Dense) (None, 8) 264 _________________________________________________________________ dropout_575 (Dropout) (None, 8) 0 _________________________________________________________________ dense_767 (Dense) (None, 8) 72 _________________________________________________________________ dropout_576 (Dropout) (None, 8) 0 _________________________________________________________________ dense_768 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20211152113400974 acc max: 0.9261538505554199 loss mean : 0.23949081793922644 acc mean: 0.9036200038548616
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_769 (Dense) (None, 32) 352 _________________________________________________________________ dropout_577 (Dropout) (None, 32) 0 _________________________________________________________________ dense_770 (Dense) (None, 8) 264 _________________________________________________________________ dropout_578 (Dropout) (None, 8) 0 _________________________________________________________________ dense_771 (Dense) (None, 16) 144 _________________________________________________________________ dropout_579 (Dropout) (None, 16) 0 _________________________________________________________________ dense_772 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18245188541137256 acc max: 0.9369230794906617 loss mean : 0.21379031854161848 acc mean: 0.9183169253851359
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_773 (Dense) (None, 32) 352 _________________________________________________________________ dropout_580 (Dropout) (None, 32) 0 _________________________________________________________________ dense_774 (Dense) (None, 8) 264 _________________________________________________________________ dropout_581 (Dropout) (None, 8) 0 _________________________________________________________________ dense_775 (Dense) (None, 16) 144 _________________________________________________________________ dropout_582 (Dropout) (None, 16) 0 _________________________________________________________________ dense_776 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12963518702066862 acc max: 0.9600000036679781 loss mean : 0.164989371881485 acc mean: 0.9438261577466817
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_777 (Dense) (None, 32) 352 _________________________________________________________________ dropout_583 (Dropout) (None, 32) 0 _________________________________________________________________ dense_778 (Dense) (None, 8) 264 _________________________________________________________________ dropout_584 (Dropout) (None, 8) 0 _________________________________________________________________ dense_779 (Dense) (None, 16) 144 _________________________________________________________________ dropout_585 (Dropout) (None, 16) 0 _________________________________________________________________ dense_780 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19773894112843735 acc max: 0.9353846183189979 loss mean : 0.23490799642709584 acc mean: 0.9189476958768185
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_781 (Dense) (None, 32) 352 _________________________________________________________________ dropout_586 (Dropout) (None, 32) 0 _________________________________________________________________ dense_782 (Dense) (None, 8) 264 _________________________________________________________________ dropout_587 (Dropout) (None, 8) 0 _________________________________________________________________ dense_783 (Dense) (None, 16) 144 _________________________________________________________________ dropout_588 (Dropout) (None, 16) 0 _________________________________________________________________ dense_784 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18398785820374122 acc max: 0.9307692351708046 loss mean : 0.21349729070668036 acc mean: 0.9134523119207529
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_785 (Dense) (None, 32) 352 _________________________________________________________________ dropout_589 (Dropout) (None, 32) 0 _________________________________________________________________ dense_786 (Dense) (None, 8) 264 _________________________________________________________________ dropout_590 (Dropout) (None, 8) 0 _________________________________________________________________ dense_787 (Dense) (None, 16) 144 _________________________________________________________________ dropout_591 (Dropout) (None, 16) 0 _________________________________________________________________ dense_788 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1779796553345827 acc max: 0.9369230794906617 loss mean : 0.2193108007508287 acc mean: 0.9162830792134541
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_789 (Dense) (None, 32) 352 _________________________________________________________________ dropout_592 (Dropout) (None, 32) 0 _________________________________________________________________ dense_790 (Dense) (None, 8) 264 _________________________________________________________________ dropout_593 (Dropout) (None, 8) 0 _________________________________________________________________ dense_791 (Dense) (None, 16) 144 _________________________________________________________________ dropout_594 (Dropout) (None, 16) 0 _________________________________________________________________ dense_792 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13537289628615745 acc max: 0.9584615421295166 loss mean : 0.16933377296268942 acc mean: 0.9417830808591844
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_793 (Dense) (None, 32) 352 _________________________________________________________________ dropout_595 (Dropout) (None, 32) 0 _________________________________________________________________ dense_794 (Dense) (None, 8) 264 _________________________________________________________________ dropout_596 (Dropout) (None, 8) 0 _________________________________________________________________ dense_795 (Dense) (None, 16) 144 _________________________________________________________________ dropout_597 (Dropout) (None, 16) 0 _________________________________________________________________ dense_796 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19938040948831118 acc max: 0.9353846183189979 loss mean : 0.24092312989230338 acc mean: 0.9154723109260889
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_797 (Dense) (None, 32) 352 _________________________________________________________________ dropout_598 (Dropout) (None, 32) 0 _________________________________________________________________ dense_798 (Dense) (None, 8) 264 _________________________________________________________________ dropout_599 (Dropout) (None, 8) 0 _________________________________________________________________ dense_799 (Dense) (None, 16) 144 _________________________________________________________________ dropout_600 (Dropout) (None, 16) 0 _________________________________________________________________ dense_800 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19583658759410566 acc max: 0.9261538501886221 loss mean : 0.22933194419228112 acc mean: 0.9060815421729822
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_801 (Dense) (None, 32) 352 _________________________________________________________________ dropout_601 (Dropout) (None, 32) 0 _________________________________________________________________ dense_802 (Dense) (None, 16) 528 _________________________________________________________________ dropout_602 (Dropout) (None, 16) 0 _________________________________________________________________ dense_803 (Dense) (None, 4) 68 _________________________________________________________________ dropout_603 (Dropout) (None, 4) 0 _________________________________________________________________ dense_804 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18383984132454945 acc max: 0.9384615399287297 loss mean : 0.2187304386124015 acc mean: 0.9197646176990638
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_805 (Dense) (None, 32) 352 _________________________________________________________________ dropout_604 (Dropout) (None, 32) 0 _________________________________________________________________ dense_806 (Dense) (None, 16) 528 _________________________________________________________________ dropout_605 (Dropout) (None, 16) 0 _________________________________________________________________ dense_807 (Dense) (None, 4) 68 _________________________________________________________________ dropout_606 (Dropout) (None, 4) 0 _________________________________________________________________ dense_808 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1369268085864874 acc max: 0.9584615421295166 loss mean : 0.17056990261339222 acc mean: 0.9404461581864721
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_809 (Dense) (None, 32) 352 _________________________________________________________________ dropout_607 (Dropout) (None, 32) 0 _________________________________________________________________ dense_810 (Dense) (None, 16) 528 _________________________________________________________________ dropout_608 (Dropout) (None, 16) 0 _________________________________________________________________ dense_811 (Dense) (None, 4) 68 _________________________________________________________________ dropout_609 (Dropout) (None, 4) 0 _________________________________________________________________ dense_812 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20851404772355006 acc max: 0.9369230794906617 loss mean : 0.24662960603223394 acc mean: 0.9115907727632157
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_813 (Dense) (None, 32) 352 _________________________________________________________________ dropout_610 (Dropout) (None, 32) 0 _________________________________________________________________ dense_814 (Dense) (None, 16) 528 _________________________________________________________________ dropout_611 (Dropout) (None, 16) 0 _________________________________________________________________ dense_815 (Dense) (None, 4) 68 _________________________________________________________________ dropout_612 (Dropout) (None, 4) 0 _________________________________________________________________ dense_816 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19535717863302965 acc max: 0.9261538501886221 loss mean : 0.24756220980882646 acc mean: 0.8974200037796681
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_817 (Dense) (None, 32) 352 _________________________________________________________________ dropout_613 (Dropout) (None, 32) 0 _________________________________________________________________ dense_818 (Dense) (None, 16) 528 _________________________________________________________________ dropout_614 (Dropout) (None, 16) 0 _________________________________________________________________ dense_819 (Dense) (None, 4) 68 _________________________________________________________________ dropout_615 (Dropout) (None, 4) 0 _________________________________________________________________ dense_820 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17538331565948634 acc max: 0.9369230794906617 loss mean : 0.20542028814402907 acc mean: 0.9253076946836252
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_821 (Dense) (None, 32) 352 _________________________________________________________________ dropout_616 (Dropout) (None, 32) 0 _________________________________________________________________ dense_822 (Dense) (None, 16) 528 _________________________________________________________________ dropout_617 (Dropout) (None, 16) 0 _________________________________________________________________ dense_823 (Dense) (None, 4) 68 _________________________________________________________________ dropout_618 (Dropout) (None, 4) 0 _________________________________________________________________ dense_824 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13001250349558316 acc max: 0.9584615424963144 loss mean : 0.16133355091136234 acc mean: 0.9467676962815798
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_825 (Dense) (None, 32) 352 _________________________________________________________________ dropout_619 (Dropout) (None, 32) 0 _________________________________________________________________ dense_826 (Dense) (None, 16) 528 _________________________________________________________________ dropout_620 (Dropout) (None, 16) 0 _________________________________________________________________ dense_827 (Dense) (None, 4) 68 _________________________________________________________________ dropout_621 (Dropout) (None, 4) 0 _________________________________________________________________ dense_828 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20979253347103413 acc max: 0.9384615410291232 loss mean : 0.26108887451731244 acc mean: 0.9102646184199591
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_829 (Dense) (None, 32) 352 _________________________________________________________________ dropout_622 (Dropout) (None, 32) 0 _________________________________________________________________ dense_830 (Dense) (None, 16) 528 _________________________________________________________________ dropout_623 (Dropout) (None, 16) 0 _________________________________________________________________ dense_831 (Dense) (None, 4) 68 _________________________________________________________________ dropout_624 (Dropout) (None, 4) 0 _________________________________________________________________ dense_832 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19052372079629165 acc max: 0.9292307732655452 loss mean : 0.22344949019436652 acc mean: 0.9089892349593456
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_833 (Dense) (None, 32) 352 _________________________________________________________________ dropout_625 (Dropout) (None, 32) 0 _________________________________________________________________ dense_834 (Dense) (None, 16) 528 _________________________________________________________________ dropout_626 (Dropout) (None, 16) 0 _________________________________________________________________ dense_835 (Dense) (None, 8) 136 _________________________________________________________________ dropout_627 (Dropout) (None, 8) 0 _________________________________________________________________ dense_836 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1714716277901943 acc max: 0.9415384641060462 loss mean : 0.20705579061946042 acc mean: 0.9244476947104013
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_837 (Dense) (None, 32) 352 _________________________________________________________________ dropout_628 (Dropout) (None, 32) 0 _________________________________________________________________ dense_838 (Dense) (None, 16) 528 _________________________________________________________________ dropout_629 (Dropout) (None, 16) 0 _________________________________________________________________ dense_839 (Dense) (None, 8) 136 _________________________________________________________________ dropout_630 (Dropout) (None, 8) 0 _________________________________________________________________ dense_840 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1244728032900737 acc max: 0.9630769267449012 loss mean : 0.1724555855180667 acc mean: 0.9385738496650181
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_841 (Dense) (None, 32) 352 _________________________________________________________________ dropout_631 (Dropout) (None, 32) 0 _________________________________________________________________ dense_842 (Dense) (None, 16) 528 _________________________________________________________________ dropout_632 (Dropout) (None, 16) 0 _________________________________________________________________ dense_843 (Dense) (None, 8) 136 _________________________________________________________________ dropout_633 (Dropout) (None, 8) 0 _________________________________________________________________ dense_844 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20567836445111495 acc max: 0.9384615410291232 loss mean : 0.23949538799881936 acc mean: 0.9195553880405426
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_845 (Dense) (None, 32) 352 _________________________________________________________________ dropout_634 (Dropout) (None, 32) 0 _________________________________________________________________ dense_846 (Dense) (None, 16) 528 _________________________________________________________________ dropout_635 (Dropout) (None, 16) 0 _________________________________________________________________ dense_847 (Dense) (None, 8) 136 _________________________________________________________________ dropout_636 (Dropout) (None, 8) 0 _________________________________________________________________ dense_848 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1928596616249818 acc max: 0.9353846190525935 loss mean : 0.22581171468748493 acc mean: 0.911515388360757
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_849 (Dense) (None, 32) 352 _________________________________________________________________ dropout_637 (Dropout) (None, 32) 0 _________________________________________________________________ dense_850 (Dense) (None, 16) 528 _________________________________________________________________ dropout_638 (Dropout) (None, 16) 0 _________________________________________________________________ dense_851 (Dense) (None, 8) 136 _________________________________________________________________ dropout_639 (Dropout) (None, 8) 0 _________________________________________________________________ dense_852 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17547534213616298 acc max: 0.940000001833989 loss mean : 0.20696535709805214 acc mean: 0.9240353865526273
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_853 (Dense) (None, 32) 352 _________________________________________________________________ dropout_640 (Dropout) (None, 32) 0 _________________________________________________________________ dense_854 (Dense) (None, 16) 528 _________________________________________________________________ dropout_641 (Dropout) (None, 16) 0 _________________________________________________________________ dense_855 (Dense) (None, 8) 136 _________________________________________________________________ dropout_642 (Dropout) (None, 8) 0 _________________________________________________________________ dense_856 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13555390110382667 acc max: 0.9615384648396419 loss mean : 0.17904803687058962 acc mean: 0.936515388257962
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_857 (Dense) (None, 32) 352 _________________________________________________________________ dropout_643 (Dropout) (None, 32) 0 _________________________________________________________________ dense_858 (Dense) (None, 16) 528 _________________________________________________________________ dropout_644 (Dropout) (None, 16) 0 _________________________________________________________________ dense_859 (Dense) (None, 8) 136 _________________________________________________________________ dropout_645 (Dropout) (None, 8) 0 _________________________________________________________________ dense_860 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2062870168685913 acc max: 0.9369230798574595 loss mean : 0.2348268888579882 acc mean: 0.9240784645465705
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_861 (Dense) (None, 32) 352 _________________________________________________________________ dropout_646 (Dropout) (None, 32) 0 _________________________________________________________________ dense_862 (Dense) (None, 16) 528 _________________________________________________________________ dropout_647 (Dropout) (None, 16) 0 _________________________________________________________________ dense_863 (Dense) (None, 8) 136 _________________________________________________________________ dropout_648 (Dropout) (None, 8) 0 _________________________________________________________________ dense_864 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19053997498292188 acc max: 0.9307692344372089 loss mean : 0.21424426776097372 acc mean: 0.9153107733332194
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_865 (Dense) (None, 32) 352 _________________________________________________________________ dropout_649 (Dropout) (None, 32) 0 _________________________________________________________________ dense_866 (Dense) (None, 16) 528 _________________________________________________________________ dropout_650 (Dropout) (None, 16) 0 _________________________________________________________________ dense_867 (Dense) (None, 16) 272 _________________________________________________________________ dropout_651 (Dropout) (None, 16) 0 _________________________________________________________________ dense_868 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17270564652406253 acc max: 0.9430769249109121 loss mean : 0.2074003405326605 acc mean: 0.9246169252359867
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_869 (Dense) (None, 32) 352 _________________________________________________________________ dropout_652 (Dropout) (None, 32) 0 _________________________________________________________________ dense_870 (Dense) (None, 16) 528 _________________________________________________________________ dropout_653 (Dropout) (None, 16) 0 _________________________________________________________________ dense_871 (Dense) (None, 16) 272 _________________________________________________________________ dropout_654 (Dropout) (None, 16) 0 _________________________________________________________________ dense_872 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12593301319158995 acc max: 0.9615384644728441 loss mean : 0.15928445258585305 acc mean: 0.944024619079003
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_873 (Dense) (None, 32) 352 _________________________________________________________________ dropout_655 (Dropout) (None, 32) 0 _________________________________________________________________ dense_874 (Dense) (None, 16) 528 _________________________________________________________________ dropout_656 (Dropout) (None, 16) 0 _________________________________________________________________ dense_875 (Dense) (None, 16) 272 _________________________________________________________________ dropout_657 (Dropout) (None, 16) 0 _________________________________________________________________ dense_876 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1872796883032872 acc max: 0.9353846186857957 loss mean : 0.23515536827247877 acc mean: 0.9159446189885873
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_877 (Dense) (None, 32) 352 _________________________________________________________________ dropout_658 (Dropout) (None, 32) 0 _________________________________________________________________ dense_878 (Dense) (None, 16) 528 _________________________________________________________________ dropout_659 (Dropout) (None, 16) 0 _________________________________________________________________ dense_879 (Dense) (None, 16) 272 _________________________________________________________________ dropout_660 (Dropout) (None, 16) 0 _________________________________________________________________ dense_880 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18761337385727808 acc max: 0.9353846186857957 loss mean : 0.20837170162223853 acc mean: 0.9191815421806849
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_881 (Dense) (None, 32) 352 _________________________________________________________________ dropout_661 (Dropout) (None, 32) 0 _________________________________________________________________ dense_882 (Dense) (None, 16) 528 _________________________________________________________________ dropout_662 (Dropout) (None, 16) 0 _________________________________________________________________ dense_883 (Dense) (None, 16) 272 _________________________________________________________________ dropout_663 (Dropout) (None, 16) 0 _________________________________________________________________ dense_884 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1753431791296372 acc max: 0.9384615402955275 loss mean : 0.2033758706396589 acc mean: 0.9268492327926711
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_885 (Dense) (None, 32) 352 _________________________________________________________________ dropout_664 (Dropout) (None, 32) 0 _________________________________________________________________ dense_886 (Dense) (None, 16) 528 _________________________________________________________________ dropout_665 (Dropout) (None, 16) 0 _________________________________________________________________ dense_887 (Dense) (None, 16) 272 _________________________________________________________________ dropout_666 (Dropout) (None, 16) 0 _________________________________________________________________ dense_888 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12916396769193503 acc max: 0.9600000036679781 loss mean : 0.1597926592497184 acc mean: 0.9471907731975043
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_889 (Dense) (None, 32) 352 _________________________________________________________________ dropout_667 (Dropout) (None, 32) 0 _________________________________________________________________ dense_890 (Dense) (None, 16) 528 _________________________________________________________________ dropout_668 (Dropout) (None, 16) 0 _________________________________________________________________ dense_891 (Dense) (None, 16) 272 _________________________________________________________________ dropout_669 (Dropout) (None, 16) 0 _________________________________________________________________ dense_892 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19279413333305945 acc max: 0.938461541395921 loss mean : 0.23944393496192418 acc mean: 0.9170907722731737
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_893 (Dense) (None, 32) 352 _________________________________________________________________ dropout_670 (Dropout) (None, 32) 0 _________________________________________________________________ dense_894 (Dense) (None, 16) 528 _________________________________________________________________ dropout_671 (Dropout) (None, 16) 0 _________________________________________________________________ dense_895 (Dense) (None, 16) 272 _________________________________________________________________ dropout_672 (Dropout) (None, 16) 0 _________________________________________________________________ dense_896 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19319167063786433 acc max: 0.9276923124606793 loss mean : 0.21674023975647413 acc mean: 0.9135984657342617
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_897 (Dense) (None, 32) 352 _________________________________________________________________ dropout_673 (Dropout) (None, 32) 0 _________________________________________________________________ dense_898 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_674 (Dropout) (None, 32) 0 _________________________________________________________________ dense_899 (Dense) (None, 4) 132 _________________________________________________________________ dropout_675 (Dropout) (None, 4) 0 _________________________________________________________________ dense_900 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18127957156071295 acc max: 0.9353846186857957 loss mean : 0.21532929971360243 acc mean: 0.9203723103288046
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_901 (Dense) (None, 32) 352 _________________________________________________________________ dropout_676 (Dropout) (None, 32) 0 _________________________________________________________________ dense_902 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_677 (Dropout) (None, 32) 0 _________________________________________________________________ dense_903 (Dense) (None, 4) 132 _________________________________________________________________ dropout_678 (Dropout) (None, 4) 0 _________________________________________________________________ dense_904 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.128335805947964 acc max: 0.9600000036679781 loss mean : 0.17329959766461298 acc mean: 0.9430215425137373
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_905 (Dense) (None, 32) 352 _________________________________________________________________ dropout_679 (Dropout) (None, 32) 0 _________________________________________________________________ dense_906 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_680 (Dropout) (None, 32) 0 _________________________________________________________________ dense_907 (Dense) (None, 4) 132 _________________________________________________________________ dropout_681 (Dropout) (None, 4) 0 _________________________________________________________________ dense_908 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19509172480839948 acc max: 0.9446153871829693 loss mean : 0.2331084570747614 acc mean: 0.9249369259315271
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_909 (Dense) (None, 32) 352 _________________________________________________________________ dropout_682 (Dropout) (None, 32) 0 _________________________________________________________________ dense_910 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_683 (Dropout) (None, 32) 0 _________________________________________________________________ dense_911 (Dense) (None, 4) 132 _________________________________________________________________ dropout_684 (Dropout) (None, 4) 0 _________________________________________________________________ dense_912 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1874773083283351 acc max: 0.9307692348040068 loss mean : 0.2384048617497774 acc mean: 0.9091323117215817
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_913 (Dense) (None, 32) 352 _________________________________________________________________ dropout_685 (Dropout) (None, 32) 0 _________________________________________________________________ dense_914 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_686 (Dropout) (None, 32) 0 _________________________________________________________________ dense_915 (Dense) (None, 4) 132 _________________________________________________________________ dropout_687 (Dropout) (None, 4) 0 _________________________________________________________________ dense_916 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17553651530009048 acc max: 0.9384615402955275 loss mean : 0.20420576923109018 acc mean: 0.9274876943415863
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_917 (Dense) (None, 32) 352 _________________________________________________________________ dropout_688 (Dropout) (None, 32) 0 _________________________________________________________________ dense_918 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_689 (Dropout) (None, 32) 0 _________________________________________________________________ dense_919 (Dense) (None, 4) 132 _________________________________________________________________ dropout_690 (Dropout) (None, 4) 0 _________________________________________________________________ dense_920 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13641265098865216 acc max: 0.9569230809578528 loss mean : 0.16189753152407133 acc mean: 0.9450707734843402
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_921 (Dense) (None, 32) 352 _________________________________________________________________ dropout_691 (Dropout) (None, 32) 0 _________________________________________________________________ dense_922 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_692 (Dropout) (None, 32) 0 _________________________________________________________________ dense_923 (Dense) (None, 4) 132 _________________________________________________________________ dropout_693 (Dropout) (None, 4) 0 _________________________________________________________________ dense_924 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20443453504489018 acc max: 0.9353846183189979 loss mean : 0.2400755697878966 acc mean: 0.9201630799165139
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_925 (Dense) (None, 32) 352 _________________________________________________________________ dropout_694 (Dropout) (None, 32) 0 _________________________________________________________________ dense_926 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_695 (Dropout) (None, 32) 0 _________________________________________________________________ dense_927 (Dense) (None, 4) 132 _________________________________________________________________ dropout_696 (Dropout) (None, 4) 0 _________________________________________________________________ dense_928 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.195962773836576 acc max: 0.9292307728987473 loss mean : 0.2271729121026626 acc mean: 0.9112369268885027
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_929 (Dense) (None, 32) 352 _________________________________________________________________ dropout_697 (Dropout) (None, 32) 0 _________________________________________________________________ dense_930 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_698 (Dropout) (None, 32) 0 _________________________________________________________________ dense_931 (Dense) (None, 8) 264 _________________________________________________________________ dropout_699 (Dropout) (None, 8) 0 _________________________________________________________________ dense_932 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1870167147196256 acc max: 0.940000001833989 loss mean : 0.2182213269313711 acc mean: 0.9194230790961248
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_933 (Dense) (None, 32) 352 _________________________________________________________________ dropout_700 (Dropout) (None, 32) 0 _________________________________________________________________ dense_934 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_701 (Dropout) (None, 32) 0 _________________________________________________________________ dense_935 (Dense) (None, 8) 264 _________________________________________________________________ dropout_702 (Dropout) (None, 8) 0 _________________________________________________________________ dense_936 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13363505702752335 acc max: 0.9630769267449012 loss mean : 0.15905221815984985 acc mean: 0.9456676965445738
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_937 (Dense) (None, 32) 352 _________________________________________________________________ dropout_703 (Dropout) (None, 32) 0 _________________________________________________________________ dense_938 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_704 (Dropout) (None, 32) 0 _________________________________________________________________ dense_939 (Dense) (None, 8) 264 _________________________________________________________________ dropout_705 (Dropout) (None, 8) 0 _________________________________________________________________ dense_940 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19600842737234556 acc max: 0.9369230798574595 loss mean : 0.23411578890635418 acc mean: 0.9188353880853837
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_941 (Dense) (None, 32) 352 _________________________________________________________________ dropout_706 (Dropout) (None, 32) 0 _________________________________________________________________ dense_942 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_707 (Dropout) (None, 32) 0 _________________________________________________________________ dense_943 (Dense) (None, 8) 264 _________________________________________________________________ dropout_708 (Dropout) (None, 8) 0 _________________________________________________________________ dense_944 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1972661532347019 acc max: 0.9292307732655452 loss mean : 0.22284808190235725 acc mean: 0.9128046194192079
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_945 (Dense) (None, 32) 352 _________________________________________________________________ dropout_709 (Dropout) (None, 32) 0 _________________________________________________________________ dense_946 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_710 (Dropout) (None, 32) 0 _________________________________________________________________ dense_947 (Dense) (None, 8) 264 _________________________________________________________________ dropout_711 (Dropout) (None, 8) 0 _________________________________________________________________ dense_948 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16963934808969497 acc max: 0.940000001833989 loss mean : 0.19884180012728161 acc mean: 0.9279184636503001
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_949 (Dense) (None, 32) 352 _________________________________________________________________ dropout_712 (Dropout) (None, 32) 0 _________________________________________________________________ dense_950 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_713 (Dropout) (None, 32) 0 _________________________________________________________________ dense_951 (Dense) (None, 8) 264 _________________________________________________________________ dropout_714 (Dropout) (None, 8) 0 _________________________________________________________________ dense_952 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1292065816659194 acc max: 0.9600000036679781 loss mean : 0.16391478544271912 acc mean: 0.9450015421878374
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_953 (Dense) (None, 32) 352 _________________________________________________________________ dropout_715 (Dropout) (None, 32) 0 _________________________________________________________________ dense_954 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_716 (Dropout) (None, 32) 0 _________________________________________________________________ dense_955 (Dense) (None, 8) 264 _________________________________________________________________ dropout_717 (Dropout) (None, 8) 0 _________________________________________________________________ dense_956 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19660386122190035 acc max: 0.938461541395921 loss mean : 0.23064914725679617 acc mean: 0.9236876954537172
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_957 (Dense) (None, 32) 352 _________________________________________________________________ dropout_718 (Dropout) (None, 32) 0 _________________________________________________________________ dense_958 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_719 (Dropout) (None, 32) 0 _________________________________________________________________ dense_959 (Dense) (None, 8) 264 _________________________________________________________________ dropout_720 (Dropout) (None, 8) 0 _________________________________________________________________ dense_960 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1942887179668133 acc max: 0.9307692348040068 loss mean : 0.22144676110625267 acc mean: 0.9117538499980707
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_961 (Dense) (None, 32) 352 _________________________________________________________________ dropout_721 (Dropout) (None, 32) 0 _________________________________________________________________ dense_962 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_722 (Dropout) (None, 32) 0 _________________________________________________________________ dense_963 (Dense) (None, 16) 528 _________________________________________________________________ dropout_723 (Dropout) (None, 16) 0 _________________________________________________________________ dense_964 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1779395970243674 acc max: 0.940000001833989 loss mean : 0.2113063468668323 acc mean: 0.9211046176184599
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_965 (Dense) (None, 32) 352 _________________________________________________________________ dropout_724 (Dropout) (None, 32) 0 _________________________________________________________________ dense_966 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_725 (Dropout) (None, 32) 0 _________________________________________________________________ dense_967 (Dense) (None, 16) 528 _________________________________________________________________ dropout_726 (Dropout) (None, 16) 0 _________________________________________________________________ dense_968 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12284674213482784 acc max: 0.9615384648396419 loss mean : 0.14997937905958064 acc mean: 0.9484153888856447
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_969 (Dense) (None, 32) 352 _________________________________________________________________ dropout_727 (Dropout) (None, 32) 0 _________________________________________________________________ dense_970 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_728 (Dropout) (None, 32) 0 _________________________________________________________________ dense_971 (Dense) (None, 16) 528 _________________________________________________________________ dropout_729 (Dropout) (None, 16) 0 _________________________________________________________________ dense_972 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1823429425404622 acc max: 0.9369230798574595 loss mean : 0.22454238805614984 acc mean: 0.9235723111634988
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_973 (Dense) (None, 32) 352 _________________________________________________________________ dropout_730 (Dropout) (None, 32) 0 _________________________________________________________________ dense_974 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_731 (Dropout) (None, 32) 0 _________________________________________________________________ dense_975 (Dense) (None, 16) 528 _________________________________________________________________ dropout_732 (Dropout) (None, 16) 0 _________________________________________________________________ dense_976 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1882249641418457 acc max: 0.9369230802242573 loss mean : 0.20677113629061444 acc mean: 0.9214092346334457
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_977 (Dense) (None, 32) 352 _________________________________________________________________ dropout_733 (Dropout) (None, 32) 0 _________________________________________________________________ dense_978 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_734 (Dropout) (None, 32) 0 _________________________________________________________________ dense_979 (Dense) (None, 16) 528 _________________________________________________________________ dropout_735 (Dropout) (None, 16) 0 _________________________________________________________________ dense_980 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1746288978595 acc max: 0.9384615402955275 loss mean : 0.2024659563039587 acc mean: 0.9280338482715532
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_981 (Dense) (None, 32) 352 _________________________________________________________________ dropout_736 (Dropout) (None, 32) 0 _________________________________________________________________ dense_982 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_737 (Dropout) (None, 32) 0 _________________________________________________________________ dense_983 (Dense) (None, 16) 528 _________________________________________________________________ dropout_738 (Dropout) (None, 16) 0 _________________________________________________________________ dense_984 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12368554486678197 acc max: 0.9630769263781034 loss mean : 0.15478472941439883 acc mean: 0.947618465282
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_985 (Dense) (None, 32) 352 _________________________________________________________________ dropout_739 (Dropout) (None, 32) 0 _________________________________________________________________ dense_986 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_740 (Dropout) (None, 32) 0 _________________________________________________________________ dense_987 (Dense) (None, 16) 528 _________________________________________________________________ dropout_741 (Dropout) (None, 16) 0 _________________________________________________________________ dense_988 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19315485610411717 acc max: 0.9369230798574595 loss mean : 0.22829456235468387 acc mean: 0.9218769263836054
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_989 (Dense) (None, 32) 352 _________________________________________________________________ dropout_742 (Dropout) (None, 32) 0 _________________________________________________________________ dense_990 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_743 (Dropout) (None, 32) 0 _________________________________________________________________ dense_991 (Dense) (None, 16) 528 _________________________________________________________________ dropout_744 (Dropout) (None, 16) 0 _________________________________________________________________ dense_992 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19025110102616824 acc max: 0.9292307732655452 loss mean : 0.2126249331974066 acc mean: 0.9138646195268632
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 32 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_993 (Dense) (None, 32) 352 _________________________________________________________________ dropout_745 (Dropout) (None, 32) 0 _________________________________________________________________ dense_994 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_746 (Dropout) (None, 32) 0 _________________________________________________________________ dense_995 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_747 (Dropout) (None, 32) 0 _________________________________________________________________ dense_996 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17934964308371912 acc max: 0.9400000025675846 loss mean : 0.20480099688823405 acc mean: 0.9265676945655164
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_997 (Dense) (None, 32) 352 _________________________________________________________________ dropout_748 (Dropout) (None, 32) 0 _________________________________________________________________ dense_998 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_749 (Dropout) (None, 32) 0 _________________________________________________________________ dense_999 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_750 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1000 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12242275288471809 acc max: 0.9630769260113056 loss mean : 0.15389569618312213 acc mean: 0.9469892343785212
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1001 (Dense) (None, 32) 352 _________________________________________________________________ dropout_751 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1002 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_752 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1003 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_753 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1004 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1678998771539101 acc max: 0.9476923095262968 loss mean : 0.22710248798361193 acc mean: 0.9210723110998594
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1005 (Dense) (None, 32) 352 _________________________________________________________________ dropout_754 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1006 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_755 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1007 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_756 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1008 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18750680620853719 acc max: 0.9400000029343825 loss mean : 0.2143596492400536 acc mean: 0.9218507727059951
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 32 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1009 (Dense) (None, 32) 352 _________________________________________________________________ dropout_757 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1010 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_758 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1011 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_759 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1012 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1721293595662484 acc max: 0.9400000014671912 loss mean : 0.20832337164406592 acc mean: 0.9212384635353547
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1013 (Dense) (None, 32) 352 _________________________________________________________________ dropout_760 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1014 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_761 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1015 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_762 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1016 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12076298791628617 acc max: 0.9584615421295166 loss mean : 0.1520645503870799 acc mean: 0.948049234896073
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1017 (Dense) (None, 32) 352 _________________________________________________________________ dropout_763 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1018 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_764 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1019 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_765 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1020 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19495090576318594 acc max: 0.9323076956088726 loss mean : 0.2336632384938002 acc mean: 0.9165353882728172
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1021 (Dense) (None, 32) 352 _________________________________________________________________ dropout_766 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1022 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_767 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1023 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_768 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1024 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18774637905450967 acc max: 0.9292307728987473 loss mean : 0.21057479319375294 acc mean: 0.9158323116839849
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